Patent Publication Number: US-2022222760-A1

Title: Asset Verification Systems and/or Methods

Description:
CROSS-REFERENCE 
     This application claims the benefit of Australian Provisional Patent Application No.: 2019902532, filed on 17 Jul. 2019, the entire contents of which is incorporated herein by reference thereto. 
     TECHNICAL FIELD 
     The present invention relates generally to asset verification systems and/or methods, and relates particularly, though not exclusively, to systems and/or methods for acquiring and analysing asset data for asset identification and verification purposes. More particularly, the present invention relates to an automated system and/or method for acquiring, aggregating and analysing asset data from multiple sources for asset identification, verification and/or information display purposes. 
     It will be convenient to hereinafter describe the invention in relation to an automated system and/or method for acquiring, aggregating and analysing intangible property asset data, in particular trade mark, brand name, design, company/business name, domain name and/or social media identifier asset data, from multiple sources for various intangible property asset identification, verification and/or information display purposes, however, it should be appreciated that the present invention is not limited to that use only. For example, the asset verification systems and/or methods of the present invention could also readily be used for other forms of intangible property assets, such as, e.g., patents, copyright works/material or plant breeders rights, or for identifying start-ups, influencers and/or bloggers, as well as for any suitable form of tangible property asset(s), such as, for example, vehicles, aircraft, watercraft, bicycles, jewellery and watches, and/or any other suitable form of asset that may require identification, verification and/or authentication for purposes such as research, registration, protection, use, valuation, sale, repair and/or replacement. A skilled person will appreciate many possible uses and modifications of the systems and/or methods of the present invention. Accordingly, the present invention as hereinafter described should not be construed as limited to any one or more of the specific examples provided herein, but instead should be construed broadly within the spirit and scope of the invention as defined in the description and claims that now follow. 
     BACKGROUND 
     Any discussion of documents, devices, acts or knowledge in this specification is included to explain the context of the invention. It should not be taken as an admission that any of the material forms a part of the prior art base or the common general knowledge in the relevant art in Australia, or elsewhere, on or before the priority date of the disclosure herein. 
     Unless stated otherwise, throughout the ensuing description, the expression “asset(s)” is/are intended to refer to any suitable tangible or intangible item(s) of value that may require identification, verification and/or authentication for purposes, such as, for example, research, registration, protection, use, valuation, sale, repair and/or replacement. As has already been outlined above, suitable items of value may include, but are not limited to: registrable intellectual property rights, such as, for example, trade marks (including traditional and non-traditional trade marks), registered/industrial designs, patents, design patents, plant breeders rights and copyright works/material; non-registrable intellectual property rights, such as, for example, unregistered design rights, circuit layouts, copyright works/material and trade dress; domain names; company and business/trade names; intangible rights that an individual or entity claims right to by virtue or, for example, prior or continuous use, such as, for example, words, phrases, letters, numbers, sounds, scents, shapes, logos, pictures, images (both still and moving), videos, movies, aspects of packaging, designs, plant variety names, brand names, or a combination of these; social media, Internet or other communications network identifiers, handles or tags, such as, for example, Instagram handles, Twitter handles and hashtags; watches and jewellery; wine or spirits; works of art; memorabilia; collectables; weapons; property; and/or, import/export items, etc. A skilled person will appreciate these and other suitable item(s) of value, or combinations, substitutions, variations or alternatives thereof, applicable for use with the system and/or method of the present invention. Accordingly, the present invention should not be construed as limited to any one or more of the specific examples provided herein. Finally, the definition of the expression hereinbefore described is only provided for assistance in understanding the nature of the invention, and more particularly, the preferred embodiments of the invention as hereinafter described. Such definition, where provided, is merely an example of what the expression refers to, and hence, is not intended to limit the scope of the invention in any way. 
     The process of correctly identifying and verifying the authenticity of an asset for purposes such as research, registration, protection, use, valuation, sale or repair is often laborious and fraught with human errors, whether they be inadvertent or fraudulent errors. For example, users may register an Instagram handle or a business name believing the Instagram handle or business name are protected and do not infringe any other trader&#39;s Instagram handle or business name. However, at this first instance, users are generally failing to consider if their intended brand name may infringe a registered trademark. This unintentional infringement of trademark rights can lead to subsequent legal threats and battles, ultimately resulting in the possibility of a loss of the Instagram handle or the proposed business name. There is currently no convenient service for assisting start-up companies and influencers to decide and then build their personalised brand with the added protection that it does not infringe conflicting trademarks or other related intangible property rights. 
     In Australia, current trademark or brand name/identifier and related important data is available online from a large number of disparate, non-integrated and sometimes, non-verified data sources. For example, IP Australia (the Australian Intellectual Property Office), ASIC (the “Australian Securities &amp; Investments Commission”), Domain Name Whois service providers, LinkedIn, Instagram and Facebook each contain numerous trade mark or brand name/identifier related data including, but not limited to: trademarks, including ownership information, goods/services and historical information related thereto; company and business names, including ownership and ACN/ABN (“Australian Company Number”/“Australian Business Number”) information; domain names (which may sometimes have hidden particulars); social media identifiers, such as, handles or tags; and, a lot of other business-related information. With that said, whilst IP Australia maintains a database of current and lapsed trademarks and this information is publicly available, searching of the Trade Marks Office official online database (“ATMOSS”) is a laborious and complicated process. Furthermore, a trademark can be unregistered and therefore not recorded on IP Australia&#39;s ATMOSS database, whereas unregistered trademarks still confer trademark rights to their owner by virtue of prior use and acquired reputation. Another source of important related information is the Personal Property Securities Register (or “PPSR”), an Australian Government agency, which maintains a national database that stores details of security interests registered against personal assets, including intellectual property rights, and provides that information to the public for a fee. Whilst these sources may provide specific data that can be readily searched, there is currently no service offering a reliable, robust system that delivers a consolidated data output with easy to use single reference for intangible property asset identification, verification and/or information display purposes. 
     The intellectual property and related intangible asset data available from these types of sites/sources is typical information which consumers and business industry personnel alike all require when, for example: researching a potential new trademark for a business or considering a new brand name or re-branding a business. Typically, a consumer wanting to make an informed decision about a new brand would need to seek out all of this information from the various sources on their own, including paying the necessary fees for any reports that are not available for free. Likewise, whilst intellectual property industry professionals often have ready access and search strategies for retrieving the intellectual property data held by agencies such as IP Australia and the PPSR, they generally still need to access one or more other sites or service providers to ascertain, for example, the claimed goods and/or services for a trademark, ownership and history of ownership of the trademark, etc. Regardless of whether it&#39;s a consumer, or intellectual property industry professional, doing the research, etc., the current process of retrieving the necessary intangible asset data is a manual process which involves one or more people manually entering required information, e.g., a trademark image or a word, etc., into the various sites or programs in order to retrieve the desired data. As with all manual data entry processes, input errors can lead to no or incorrect data being retrieved. This problem can be exacerbated when multiple sources need to be accessed and/or when attempting to obtain and enter unusual trademarks/brand names, such as, for example, peculiar words, and images, into these various sites or programs. Further difficulties may be encountered if a trader wishes to search for a non-traditional trademark, such as, for example, a sound, scent or an aspect of packaging or trade dress. 
     Even if we put aside the problems associated with manual data entry, and if we consider that all of the necessary intangible property asset data is readily available online from the types of sites and service providers outlined above, there is currently no way to determine whether the available data for a particular intangible property asset is actually correct or valid. That is, there is currently no way to readily differentiate between correct and incorrect (or fraudulent) data, nor is there any convenient means of interpreting administrative nuances, filtering our extraneous information, or making “human-like” predictions about the validity of the available data or intangible property asset itself. 
     A need therefore exists for an asset verification system and/or method, one which overcomes or alleviates one or more of the aforesaid problems associated with known sources of asset data, and/or procedures for obtaining and reviewing that data, or one which at least provides a useful alternative. More particularly, a need exists for an automated system and/or method for acquiring, aggregating and analysing asset data from multiple sources for asset identification, verification and/or information display purposes. In one form, it would be convenient to provide an automated system and/or method for acquiring, aggregating and analysing intangible property asset data from multiple sources for intangible property asset identification, verification and/or information display purposes. It would also be advantageous if such an automated system and/or method were able to provide a robust, reliable and easy to use single reference for intangible property asset information which could readily be used to verify intangible property asset authenticity, history and availability for use, etc., with a high degree of accuracy. 
     SUMMARY 
     According to one aspect, the present invention provides a method for acquiring, aggregating and analysing asset data from multiple data sources for asset identification, verification and/or information display purposes, the method including the steps of: acquiring initial asset data for a selected asset from a first data source, the initial asset data including at least one identifier for the selected asset, and/or one or more word(s) and/or image(s) of the selected asset; utilising the initial asset data and/or the at least one identifier, to retrieve further predetermined asset data associated with the selected asset from two or more further data sources; aggregating and analysing the acquired/retrieved initial and further predetermined asset data, whilst also optionally acquiring, aggregating and analysing any further necessary asset data associated with the selected asset from the first and/or two or more further data sources; and, utilising artificial intelligence or machine learning to cross-check or vet the acquired/retrieved asset data in order to verify particulars of the selected asset; wherein the cross-checked or vetted asset data may then be used for identification, verification and/or information display purposes related to the selected asset. 
     Preferably, the first data source is a user data source, and wherein the two of more further data sources preferably include trusted and non-trusted data sources. 
     Preferably, the initial asset data for the selected asset includes at least the at least one identifier, and wherein the initial asset data and/or the further necessary asset data preferably includes a plurality of images of the selected asset if the selected asset includes multiple dimensions, aspects or forms, and, wherein if the selected asset is a multi-dimensional object or thing, the plurality of images of the selected asset preferably includes a plurality of images of the selected asset at differing angles. 
     In a practical preferred embodiment, the selected asset is preferably a selected intangible property asset, and wherein the at least one identifier for the selected intangible property asset preferably is at least one of: a word; a letter; a phrase; a number; an image (still or moving); a picture; a logo; a sound; a shape; a two-dimensional shape; a three-dimensional shape; a scent; a movement; a movie/video; a colour; a design; an aspect of packaging; a trade dress; a brand name; a trade mark; a company/business/trade name; a plant variety name; and/or, a combination of any of these aforementioned asset identifiers; and/or, a domain name; a social media, internet or other communications network identifier including a handle or a tag; and/or, an intangible property asset particular(s). 
     Preferably, the further predetermined asset data, and/or the further necessary asset data, associated with the selected intangible property asset includes both trusted and non-trusted intangible property asset data, obtained from the two or more trusted and non-trusted data sources, and wherein the trusted and non-trusted intangible property asset data for the selected intangible property asset preferably includes, but is not limited to: government or otherwise officially recorded intangible property asset data; intangible property asset ownership data; associated product and/or service intangible property asset data; and/or, general intangible property asset data available from general data source providers, including search engine and social media service providers. 
     Preferably, the step of utilising artificial intelligence or machine learning to cross-check or vet the acquired/retrieved intangible property asset data includes the use of an artificial intelligence algorithm or neural network in association, or combination with, at least object detection technology, in order to verify particulars of the selected intangible property asset. 
     It is also preferred that the step of utilising artificial intelligence or machine learning to cross-check or vet the acquired/retrieved intangible property asset data, utilising the artificial intelligence algorithm or neural network in association, or combination with, the at least object detection technology, in order to verify particulars of the selected intangible property asset, preferably includes comparing and contrasting the acquired/retrieved intangible property asset data with the known reliable/trusted data sources in order to differentiate between accurate or false, or fraudulent, intangible property asset data, and/or authentic or non-authentic intangible property assets, and/or related or non-related particulars, etc., thereof. 
     Similarly, it is also preferred that the step of utilising artificial intelligence or machine learning to cross-check or vet the acquired/retrieved intangible property asset data, utilising the artificial intelligence algorithm or neural network in association, or combination with, the at least object detection technology, also preferably includes: interpreting any administrative nuances associated with the acquired/retrieved intangible property asset data; and/or, filtering out any extraneous information/data contained within the acquired/retrieved intangible property asset data. 
     Preferably, the asset identification, verification and/or information display purposes include, but are not limited to: selling or purchasing a selected intangible property asset; exploring or researching a selected intangible property asset, and/or features/specifications thereof, including whether or not the selected intangible property asset is available for use, registration and/or protection; recording or modifying a selected intangible property asset security interest; proceeding to register or protect a selected intangible property asset; and/or, proceeding to engage a professional or service provider to assist with further matters associated with a selected intangible property asset. 
     According to a further aspect, the present invention provides a non-transitory computer readable medium storing a set of instructions that, when executed by a machine, cause the machine to execute a method for acquiring, aggregating and analysing asset data from multiple data sources for asset identification, verification and/or information display purposes, the method including the steps of acquiring initial asset data for a selected asset from a first data source, the initial asset data including at least one identifier for the selected asset, and/or one or more word(s) and/or image(s) of the selected asset; utilising the initial asset data and/or the at least one identifier, to retrieve further predetermined asset data associated with the selected asset from two or more further data sources; aggregating and analysing the acquired/retrieved initial and further predetermined asset data, whilst also optionally acquiring, aggregating and analysing any further necessary asset data associated with the selected asset from the first and/or two or more further data sources; and, utilising artificial intelligence or machine learning to cross-check or vet the acquired/retrieved asset data in order to verify particulars of the selected asset; wherein the cross-checked or vetted asset data may then be used for identification, verification and/or information display purposes related to the selected asset. 
     According to yet a further aspect, the present invention also provides a system for acquiring, aggregating and analysing asset data from multiple data sources for asset identification, verification and/or information display purposes, the system including: one or modules or applications for acquiring initial asset data for a selected asset from a first data source, the initial asset data including at least one identifier for the selected asset, and/or one or more word(s) and/or image(s) of the selected asset; one or more modules of applications for utilising the initial asset data and/or the at least one identifier, to retrieve further predetermined asset data associated with the selected asset from two or more further data sources; one or more modules or applications for aggregating and analysing the acquired/retrieved initial and further predetermined asset data, whilst also optionally acquiring, aggregating and analysing any further necessary asset data associated with the selected asset from the first and/or two or more further data sources; and, one or more artificial intelligence or machine learning modules of applications for cross-checking or vetting the acquired/retrieved asset data in order to verify particulars of the selected asset; wherein the cross-checked or vetted asset data may then be used for identification, verification and/or information display purposes related to the selected asset. 
     These and other essential or preferred features of the present invention will be apparent from the description that now follows. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       In order that the invention may be more clearly understood and put into practical effect there shall now be described in detail preferred asset verification systems and/or methods made in accordance with the invention. The ensuing description is given by way of non-limitative examples only and is with reference to the accompanying drawings, wherein: 
         FIG. 1  is a block diagram of an intangible property asset verification system made in accordance with a preferred embodiment of the present invention; 
         FIG. 2  is a flow diagram illustrating a preferred embodiment of an intangible property asset verification method which is suitable for use with the preferred intangible property asset verification system shown in  FIG. 1 ; 
         FIGS. 3 a  to 3 c    show exemplary graphical user interfaces (hereinafter simply referred to as “GUI(s)”) which illustrate, in preferred steps, how intangible property asset input data may be scanned and/or captured by a user operable device in accordance with the preferred intangible property asset verification system and/or method shown in  FIGS. 1 and 2 ; 
         FIGS. 4 a  and 4 b    show exemplary GUIs which illustrate, in preferred steps, how a user may access various options or features of the preferred intangible property asset verification system and/or method shown in  FIGS. 1 and 2 ; 
         FIGS. 5 a  and 5 b    show exemplary GUIs which illustrate, in preferred steps, how an intangible property asset may be listed for sale in accordance with the preferred intangible asset verification system and/or method shown in  FIGS. 1 and 2 ; 
         FIGS. 6 a  to 6 e    illustrate, in preferred forms, how a user may explore or research the features of an intangible property asset report that may be produced in accordance with the preferred intangible property asset verification system and/or method shown in  FIGS. 1 and 2 ; 
         FIG. 7  is a block diagram illustrating how an intangible property asset security interest may be recorded or managed in accordance with the preferred intangible property asset verification system and/or method shown in  FIGS. 1 and 2 ; and, 
         FIG. 8  shows an exemplary GUI which illustrates how the preferred intangible property asset verification system and/or method shown in  FIGS. 1 and 2  may be used to navigate and display a verification report providing details of intangible property asset information and options for performing further steps of the preferred intangible property asset verification system and/or method shown in  FIGS. 1 and 2 . 
     
    
    
     DETAILED DESCRIPTION 
     In the following detailed description of the invention, reference is made to the drawings in which like reference numerals refer to like elements throughout, and which are intended to show by way of illustration specific embodiments in which the invention may be practiced. It is to be understood that other embodiments may be utilised and that procedural and/or structural changes may be made without departing from the spirit and scope of the invention. 
     Unless specifically stated otherwise as apparent from the following discussion, it is to be appreciated that throughout the description, discussions utilising terms such as “processing”, “computing”, “calculating”, “acquiring”, “transmitting”, “aggregating”, “receiving”, “retrieving”, “identifying”, “determining”, “analysing”, “manipulating” and/or “displaying”, or the like, refer to the action and processes of a computer system, or similar electronic computing device, that manipulates and transforms data represented as physical (electronic) quantities within the computer system&#39;s registers and memories into other data similarly represented as physical quantities within the computer system memories or registers or other such information storage, transmission or display devices. 
     Discussions regarding apparatus for performing the operations of the invention are provided herein. This apparatus may be specially constructed for the required purposes, or it may comprise a general purpose computer selectively activated or reconfigured by a computer program stored in the computer. Such a computer program may be stored in a computer readable storage medium, such as, but is not limited to, any type of disk including floppy disks, optical disks, CD-ROMs, and magnetic-optical disks, read-only memories (ROMs), random access memories (RAMs), erasable programmable read-only memory (EPROMs), electrically erasable programmable read-only memory (EEPROMs), magnetic or optical cards, or any type of media suitable for storing electronic instructions, and each coupled to a computer system bus. 
     The software modules, engines or applications, and displays or GUIs presented or discussed herein are not inherently related to any particular computer or other apparatus. Various general purpose systems may be used with programs in accordance with the teachings herein, or it may prove convenient to construct more specialised apparatus to perform the required method steps. The required structure for a variety of these systems will appear from the description below. In addition, the present invention is not described with reference to any particular programming language. It will be appreciated that a variety of programming languages may be used to implement the teachings of the invention as described herein. 
     A machine-readable medium includes any mechanism for storing or transmitting information in a form readable by a machine (e.g., a computer). For example, a machine-readable medium includes read only memory (“ROM”); random access memory (“RAM”); magnetic disk storage media; optical storage media; flash memory devices; electrical, optical, acoustical or other form of propagated signals (e.g., carrier waves, infrared signals, digital signals, etc.); etc. 
     In  FIG. 1  there is shown a preferred system  10  for acquiring, aggregating and analysing asset data  12   n  from multiple data sources  14   n  for various asset  16   n  (such as, for example, an intangible property asset  16   n  as shown in  FIGS. 3 b , 3 c , 4 a , 5 a , 6 a  to 6 e    &amp;  8 ) identification, verification and/or information display purposes. System  10  is suitable for use over a communications network  18   n , such as, for example, the Internet or web  18   n , as shown. It should be understood however, that system  10  of the present invention is not limited to that use only. 
     In the preferred embodiments shown in the drawings, system  10  is specifically configured for acquiring, aggregating and analysing intangible property asset data  12   n  for various intangible property asset  16   n  identification, verification and/or information display purposes. Examples of suitable intangible property assets  16   n  and their associated intangible property asset data  12   n  include: a word; a letter; a phrase; a number; an image (still or moving); a picture; a logo; a sound; a shape; a two-dimensional shape; a three-dimensional shape; a scent; a movement; a movie/video; a colour; a design; an aspect of packaging; a trade dress; a brand name; a trade mark; a company/business/trade name; a plant variety name; and/or, a combination of any of these aforementioned examples; and/or, a domain name; a social media, internet or other communications network identifier including a handle or a tag; and/or, any other suitable intangible property asset(s) or particular(s). 
     In  FIG. 1 , the preferred intangible property asset  16   n  is a trademark or brand name, and the associated intangible property asset identifying data  12   n  may preferably include a Trade Mark No., an ABN/ACN and an image/logo, as shown. In the context of this preferred form of intangible property asset  16   n /data  12   n , and as is shown in  FIG. 1 , the multiple data sources  14   n  preferably include, but are not limited to: user  20   n  data sources  14   n ; trusted third-party data sources  14   n , such as, for example, government or otherwise officially recorded regulated data sources (e.g. IP Australia, ASIC, domain name Whois service providers, the PPSR or similar service provider(s), etc.); and, non-trusted third-party data sources available from general data source providers, including search engine and social media service providers  14   n , such as, for example, Google, Bing, ImageNet (by Stanford and Princeton Universities), Wikipedia, Instagram, Pinterest, Facebook, Twitter, etc. Again, in the context of this preferred form of intangible property asset  16   n /data  12   n , and as is shown throughout the drawings, the various intangible property asset  16   n  identification, verification and/or information display purposes preferably include, but are not limited to: selling or purchasing an intangible property asset  16   n ; exploring or researching a selected intangible property asset  16   n , and/or features/specifications thereof, including whether or not the selected intangible property asset is available for use, registration and/or protection; recording or modifying a selected intangible property asset  16   n  security interest; proceeding to register or protect a selected intangible property asset  16   n ; and/or, proceeding to engage a professional or service provider to assist with further matters associated with a selected intangible property asset  16   n . Although specific intangible property asset  16   n  embodiments are shown and described herein, it should be appreciated that the present invention is not limited to that use, or those examples, only. 
     System  10  includes at least one network server  22   n , which includes at least one computing device  24   n , which hosts and/or maintains a plurality of tools or applications  26   n  (such as, for example, software and/or hardware modules or applications  26   n , etc.) and databases/storage devices  28   n , that together provide a means for acquiring, aggregating and analysing intangible property asset data  12   n , from the preferred multiple data sources  14   n  for the various preferred intangible property asset  16   n  identification, verification and/or information display purposes outlined above. 
     Network server  22   n  is configured to receive/transmit data, including intangible property asset data  12   n , from/to the trusted and non-trusted third-party data sources  14   n  and at least one user operable device  30   n , via communications network  18   n . The term “user operable device(s)  30   n ” refers to any suitable type of computing device or software application, etc., capable of transmitting, receiving, capturing, conveying and/or displaying data (including intangible property asset data  12   n ) as described herein, including, but not limited to, a mobile or cellular phone, a smart phone, an App (e.g. iOS or Android, etc.) for a smart phone, a smart watch or other wearable electronic device, an augmented reality device (such as, for example, an augmented reality headset, eyeglasses or contact lenses, etc.), a connected Internet of Things (“IoT”) device; a Personal Digital Assistant (PDA), and/or any other suitable computing device, as for example a server, personal, desktop, tablet, or notebook computer. 
     User operable devices  30   n  are each configured to be operated by at least one user  20   n  of system  10 . The term “user  20   n ” refers to any person in possession of, or stationed at, at least one user operable device  30   n  who is able to operate the user operable device  30   n  in order to transmit/receive data, including intangible property asset data  12   n , and/or display intangible property asset data  12   n , intangible property asset(s)  16   n  (including features and specifications thereof, etc.), reports and other necessary information  32   n  within at least one GUI(s)  34   n  installed on the user operable device  30   n . User operable devices  30   n  may include various types of software and/or hardware module(s) (not shown) required for capturing, transmitting, receiving, analysing, processing, conveying and/or displaying data, including intangible property asset data  12   n  to/from network server  22   n , via communications network  18   n , in accordance with system  10  including, but not limited to: at least one system  10  specific GUI  34   n  application(s) or App(s), which could simply be an operating system installed on user operable device  30   n  that is capable of actively transmitting, receiving, capturing, conveying and/or displaying data on a screen without the need of a specific separately installed GUI  34   n , etc.; a plurality of tools or applications (not shown, but which may be, for example, software and/or hardware modules or applications, etc.) that provide a means of identifying, capturing, retrieving, analysing and/or processing intangible property asset data  12   n ; monitor(s) (touch sensitive or otherwise); camera(s) for capturing still or moving intangible property asset data  12   n , or for creating a system  10  generated augmented reality environment (not shown), etc.; GUI pointing device(s); keyboard(s); sound capture device(s) (e.g. one or more microphone devices for capturing a user&#39;s  20   n  voice commands, or for capturing intangible property asset data  12   n , etc.); sound emitting device(s) (e.g. one or more loudspeakers and/or text to speech converters, etc., for audibly conveying intangible property asset data  12   n , reports  32   n , etc., to a user  20   n ); gesture capture device(s) (e.g. one or more cameras for capturing a user&#39;s  20   n  gesture commands, etc.); augmented reality device(s) (e.g. glasses, etc.); smart watch(es); and/or, any other suitable data acquisition, transmission, capture, conveying and/or display device(s) (not shown). 
     Intangible property asset data  12   n  may be captured by a user operable device  30   n  directly by way of, e.g., a user  20   n  utilising their finger(s), thumb(s), a keyboard, a GUI pointing device(s), integrated camera(s), etc., or a voice command, physical motion or gesture, etc. Alternatively, intangible property asset data  12   n  may be captured by way of a user  20   n  utilising a user interface (not shown), e.g., a smart watch, augmented reality device, external camera(s), etc., connected to the user operable device  30   n . The process of capturing intangible property asset data  12   n  may also not involve any user  20   n  directed input at all, but instead could be submitted to network server  22   n , as desired by a user operable device  30   n  itself, based on algorithms, e.g. predictive algorithms, residing on the user operable device(s)  30   n , which may determine that an intangible property asset  16   n  is in need of scanning, etc., in order to capture intangible property asset data  12   n , by way of, for example, analysing a user&#39;s  20   n  behaviour, their geographical location, or by the position of the intangible property asset  16   n  relative to the user operable device  30   n , etc. Similarly, intangible property asset data  12   n  and any other applicable associated data  32   n  (e.g., application and/or registration numbers, images, etc.) may be displayed to a user  20   n  by way of one or more screens or monitors of a user operable device  30   n  or may be displayed to the user  20   n  by way of a user interface (not shown), e.g., a smart watch, augmented reality device, etc., connected to the user operable device  30   n . In yet a further embodiment, some or all of the intangible property asset data  12   n  may be displayed to a user  20   n  by way of one or more screens or monitors of a user operable device  30   n  (or may be displayed to the user  20   n  by way of a user interface (not shown), e.g. a smart watch, augmented reality device, etc., connected to the user operable device  30   n ), whilst part of the intangible property asset data  12   n  may be audibly conveyed to the user  20   n  by way of one or more sound emitting device(s) of (or connected to) the user operable device  30   n . For example, images (still or moving) of an intangible property asset  16   n  may be displayed (by way of, for example, a screen/monitor, or an augmented reality device(s), etc.) to a user  20   n  by way of, for example, the GUI  34   n  of  FIG. 4 a   , with the corresponding intangible property asset data  12   n , e.g. the intangible property  16   n  information, such as brand name, trade mark, or other features, etc., being audibly conveyed to the user  20   n  automatically, or upon request, by way of one or more sound emitting device(s) of (or connected to) the user operable device  30   n  (or augmented reality device(s), etc.). It will be appreciated that where user interfaces (not shown), such as, for example, a smart watch and/or an augmented reality device, are referred to as being interfaces that may be connected (wired or wirelessly) to a user operable device  30   n , such interfaces could themselves be a user operable device  30   n  in accordance with the present invention. That is, a device, such as, for example, an augmented reality device (not shown) could be a standalone user operable device  30   n , or passive display device, suitable for use in accordance with system  10  of the present invention. 
     Network server  22   n  is configured to communicate with user operable devices  30   n  (and hence, user  20   n ) and trusted and non-trusted third-party data sources  14   n  via any suitable communications connection or network  18   n  (hereinafter referred to simply as a “network(s)  18   n ”). Trusted and non-trusted third-party data sources, or service provider(s)  14   n , is/are configured to transmit and receive data to/from network server  22   n , via network(s)  18   n . User operable devices  30   n  are configured to transmit, receive capture and/or display data, including intangible property asset data  12   n , from/to network server  22   n , via network(s)  18   n . Each user operable device  30   n  and trusted and non-trusted data service provider  141  may communicate with network server  22   n  via the same or a different network  18   n . Suitable networks  18   n  include, but are not limited to: a Local Area Network (LAN); a Personal Area Network (PAN), as for example an Intranet; a Wide Area Network (WAN), as for example the Internet; a Virtual Private Network (VPN); a Wireless Application Protocol (WAP) network, or any other suitable telecommunication network, such as, for example, a GSM, 3G, 4G, 5G, etc., network; Bluetooth network; and/or any suitable WiFi network (wireless network). Network server  22   n , trusted and non-trusted third-party data sources, or service providers  14   n , and/or user operable device  30   n , may include various types of hardware and/or software necessary for communicating with one another via network(s)  18   n , and/or additional computers, hardware, software, such as, for example, routers, switches, access points and/or cellular towers, etc. (not shown), each of which would be deemed appropriate by persons skilled in the relevant art. 
     For security purposes, various levels or security, including hardware and/or software, such as, for example, application programming interfaces (or “APIs”, as shown in, for example,  FIGS. 1 &amp; 7 ), firewalls, tokens, two-step authentication (not shown), etc., may be used to prevent the unauthorized access to, for example, network server  22   n  and/or third-party data sources  14   n . Similarly, network server  22   n  may utilise security (e.g., hardware and/or software—not shown) to validate access by user operable devices  30   n , or when exchanging information between/with third-party data sources  14   n . It is also preferred that network server  22   n  performs validation functions to ensure the integrity of data transmitted between third-party data sources  14   n  and/or user operable devices  30   n . A person skilled in the relevant art will appreciate such technologies and the many options available to achieve a desired level of security and/or data validation, and as such a detailed discussion of same will not be provided. Accordingly, the present invention should be construed as including within its scope any suitable security and/or data verification technologies as would be deemed appropriate by a person skilled in the relevant art. 
     Communication and/or data transfer between network server  22   n , trusted and non-trusted data sources  14   n  and/or user operable devices  30   n , may be achieved utilising any suitable communication, software architectural style, and/or data transfer protocol, such as, for example, FTP, Hypertext Transfer Protocol (HTTP), Representational State Transfer (REST); Simple Object Access Protocol (SOAP); Electronic Mail (hereinafter simply referred to as “e-mail”), Unstructured Supplementary Service Data (USSD), voice, Voice over IP (VoIP), Transfer Control Protocol/Internet Protocol (hereinafter simply referred to as “TCP/IP”), Short Message Service (hereinafter simply referred to as “SMS”), Multimedia Message Service (hereinafter simply referred to as “MMS”), any suitable Internet based message service, any combination of the preceding protocols and/or technologies, and/or any other suitable protocol or communication technology that allows delivery of data and/or communication/data transfer between network server  22   n , third-party data sources  14   n  and/or user operable devices  30   n , in accordance with system  10 . Similarly, any suitable data transfer or file format may be used in accordance with system  10 , including (but not limited to): text; a delimited file format, such as, for example, a CSV (Comma-Separated Values) file format; a RESTful web services format; a JavaScript Object Notation (JSON) data transfer format; a PDF (Portable Document Format) format; and/or, an XML (Extensible Mark-Up Language) file format. 
     Access to network server  22   n  and the transfer of information between network server  22   n , third-party data sources  14   n  and/or user operable devices  30   n , may be intermittently provided (for example, upon request), but is preferably provided “live”, i.e. in real-time, or as close to live/real-time as possible. 
     As already outlined above, system  10  is designed to provide an automated system/process for acquiring, aggregating and analysing intangible property asset data  12   n  from multiple data sources  14   n  for various intangible property asset  16   n  identification, verification and/or information display purposes. To do this, at the core of system  10 , network server  22   n  provides artificial intelligence in the form of one or more artificial intelligence algorithm(s) or module(s)/application(s)  26   n  (herein after simply referred to as “AI module(s)  26   n ”) which use machine or deep learning in association, or combination with, various other software and/or hardware modules or applications  26   n , including, but not limited to, object detection module(s)  26   n  and/or optical character recognition or reader (commonly known as “OCR”) modules  26   n , to acquire, aggregate and analyse intangible property asset data  12   n  from the preferred multiple data sources or service providers  14   n , so as to then, for example, differentiate between correct and incorrect data  12   n , differentiate between related and unrelated data  12   n , interpret administration nuances, filter out extraneous information/data  12   n  and/or make ‘human like’ predictions about the validity of the data  12   n , and/or intangible property assets  16   n . Put another way, the AI module(s)  26   n , and other module(s)  26   n  of system  10 , enable network server  22   n  to collate intangible property asset data  12   n  (and any other necessary related data), compare and contrast that data  12   n  with predetermined asset data  12   n  obtained from reliable data sources  14   n , etc., to differentiate between accurate or false (or fraudulent) data  12   n  and/or authentic or non-authentic and/or related or un-related intangible property assets  12   n  (or words, images, pictures, business names, domain names, etc., thereof). Thus, system  10  can preferably be used, inter alia, to collate authenticated intangible property asset  16   n /data  12   n , using databases  14   n  and the various module(s)/application(s)  26   n , and as a result thereof, can provide a user  20   n  with a report  32   n  (see, for example,  FIGS. 6 a  to 6 e   ) outlining whether or not a selected intangible property asset  16   n  is available for use, registration and/or protection. As will be described in further detail hereinafter, the resulting preferred report  32   n  can be used to engage an intellectual property industry professional or a service provider (such as a Trade Marks Attorney, a graphic designer, a photographer, or a marketing specialist—not shown) to assist with further matters associated with a selected intangible property asset  16   n . Using the preferred report  32   n , an intellectual property industry professional or a service provider (not shown) may then assist with filing and/or registration of an intangible property asset  16   n —if it is a registrable intangible property asset  16   n , such as, for example, an intellectual property right or a domain name, etc.—or may use the preferred report  32   n  to, for example: assess the likelihood of an infringement; use it as a basis for seeking consent to the use of an intangible property asset  16   n ; and/or, lodge an application for revocation of a trade mark for non-use, etc. Furthermore, the preferred report  32   n  could also preferably be used as a basis for licensing and/or franchising opportunities, etc. 
     In addition, and as will be described in further detail below, by being an automated streamlined process, system  10  is able to replace current manual, time consuming processes, with a new process(es) which is/are faster, more comprehensive, accurate and less prone to human errors. That is, system  10  is preferably completely, or at least substantially, automated; streamlining the entire process of collating intangible property asset data  12   n  (and any associated data/information) from multiple data sources  14   n , whilst eliminating arduous paperwork, multiple databases/sources, manual input errors and lengthy wait times, etc. 
     As already briefly outlined above, network server  22   n  and user operable device(s)  30   n , may each host and/or maintain a plurality of modules or applications  26   n  (not shown in the context of user operable devices  30   n ) and database(s)/storage device(s)  28   n  (again, not shown in the context of user operable devices  30   n ) that enable multiple aspects of system  10  to be provided over network(s)  18   n . These module(s) or application(s)  26   n  and database(s)/storage device(s)  28   n  may include, but are not limited to: (i) one or more user operable device  30   n  based module(s) or application(s) (not shown) for capturing, transmitting, receiving, conveying and/or displaying intangible property asset data  12   n  (and any associated data, reports, etc.  32   n , as described herein), to/from network server  22   n , via network(s)  18   n , wherein the user operable device  30   n  based module(s)/application(s) (not shown) preferably include(s) at least: an OCR component or application capable of recognising, capturing, converting and/or transmitting intangible property asset  16   n  alphanumeric (or symbol, etc.) identifier(s)/marker(s)/image(s)  12   n  (not shown—but which may be, for example, a trade mark, a brand name, a business name, a domain name, a logo, an intellectual property right application and/or registration number, ABN/ACN numbers, etc.)—the OCR component/application preferably being operable to capture the intangible property  16   n  information/identifier(s)/marker(s)/image(s)  12   n  either by pointing a camera, etc. (which may be integral with user operable device  30   n , or coupled therewith) at an intangible property asset  16   n  in real-time, or by analysing a previously captured image(s) and/or word(s)  12   n  (still or moving) of an intangible property asset  16   n ; an image and/or word(s)  12   n  (still or moving) capture component or application capable of capturing, storing and/or transmitting one or more images  12   n  of the intangible property asset  16   n , and/or component parts thereof—the image capture component/application may simply involve the use of a camera, etc. (which may be integral with user operable device  30   n , or coupled therewith) to take/capture image(s)/word(s)  12   n  of an intangible property asset  16   n , or may involve a more technical object detection process(es) which recognises words, numbers, images or pictures or a combination of these, etc., of an intangible property asset(s)  16   n , if required/desired; and, a GUI  34   n  component or application which acts as an interface for user(s)  20   n  to use system  10 —the GUI  34   n  component or application preferably being capable of selectively operating (either automatically or upon request from a user  20   n ) the OCR and image capture components or applications, as well as being capable of displaying intangible property asset data  12   n , intangible property asset(s)  16   n  (including features and particulars thereof, etc.), reports and other necessary information  32   n  to a user(s)  20   n  of system  10 ; (ii) one or more network server  22   n  based module(s) or application(s)  26   n , and database(s)/storage device(s)  28   n , for interfacing with user operable device(s)  30   n , and trusted and non-trusted third-party data sources or service providers  14   n  (which may require the use of APIs as shown in, for example,  FIGS. 1 &amp; 7 ), for the purpose of acquiring, aggregating, storing, modifying, indexing, transmitting and/or receiving, etc., intangible property asset data  12   n  (and any other necessary data, reports, etc.  32   n ), as required, in accordance with the present invention as described herein; (iii) one or more network server  22   n  based optical detection and/or OCR module(s) or application(s)  26   n  for analysing and recognising particulars (including, but not limited to: a word/number/picture/image/logo or a combination of these of an intangible property asset  16   n , its features, colours, shades etc., and/or identifier(s)/marker(s)/image(s)  12   n  of an intangible property asset  16   n , etc.) of intangible property assets  16   n  shown/provided in images/words  12   n  (whether they be live, stored, still or moving images/words  12   n , etc.) or other forms of intangible property asset data  12   n , acquired from user  20   n  data sources  14   n , and trusted and/or non-trusted third-party data sources  14   n  (and which data  12   n  may have been previously stored in database(s)/storage device(s)  28   n , of network server  22   n , using the one or more module(s) of application(s)  26   n  described above with reference to (ii)); and/or, (iv) one or more network server  22   n  based AI module(s)  26   n  which, as already briefly described above, use machine or deep learning methods to analyse and verify intangible property asset data  12   n , along with interpreting administrative nuances and filtering out extraneous information/data  12   n , etc., to collectively make ‘human-like’ predictions about the authenticity or validity of intangible property asset data  12   n , intangible property assets  16   n  and/or particulars thereof, in accordance with the present invention. 
     Although separate modules, applications or engines (e.g. module(s)/application(s)  26   n  and database(s)/storage device(s)  28   n  described above with reference to (i) to (iv)) have been outlined (with reference to both network server  22   n  and user operable device(s)  30   n ), each for effecting specific preferred aspects (or combinations thereof) of system  10 , it should be appreciated that any number of modules/applications/engines/databases/storage devices for performing any one, or any suitable combination of, aspects of system  10 , could be provided (wherever required) in accordance with the present invention. For example, whilst separate module(s) (iii) &amp; (iv)  26   n  have been described above, those module(s)  26   n  could be combined into a single module  26   n  in accordance with the present invention. A person skilled in the relevant art will appreciate many such module(s)/application(s)/engine(s) and database(s)/storage device(s) embodiments, modifications, variations and alternatives therefor, and as such the present invention should not be construed as limited to any of the examples provided herein and/or described with reference to the drawings. 
     AI module(s)  26   n , of network server  22   n , of system  10  of the present invention, may utilise any suitable machine or deep learning techniques or algorithms, etc., in order to perform its various functions or processes as described herein. However, it has been found that an AI module(s)  26   n  which uses a Deep Learning (“DL”) model called ResNet (or “Residual Neural Network”), a deep convolutional artificial neural network, is particularly well suited for searching and verifying intangible property asset data  12   n , etc., in accordance with system  10  of the present invention. A skilled person will appreciate ResNet and many other machine or deep learning algorithms, etc., which could be used in accordance with the present invention. Accordingly, the present invention should not be construed as limited to the specific example as provided herein. 
     In a deep convolutional neural network (herein after simply referred to as “NN”), several unique layers are stacked (or consolidated) and are trained to develop a model for the problem to be solved—in this case intangible property asset  16   n /data  12   n  verification. The NN learns several low/mid/high level features at the end of its layers. With Residual learning, instead of trying to learn some features, the NN tries to learn some residual. Residual can be simply understood as subtraction of features learned from input of that layer. ResNet does this using shortcut connections (directly connecting input of nth layer to some (n+x)th layer. It has been proven that training this form of NN is easier than training simple deep convolutional NNs and also the problem of degrading accuracy is resolved. 
     In accordance with a preferred embodiment of the present invention, a ResNet50 NN may be adopted, and then modified/refined/enhanced so as to be suitable for use as (or part of) AI module(s)  26   n , of network server  22   n , of system  10 . A ResNet50 NN is a NN trained on more than a million images from the ImageNet database. By default, a ResNet50 NN is 50 layers deep and can classify images into 1000 object categories, such as keyboard, mouse, pencil, and many animals. As a result, the ResNet50 NN has learned rich feature representations for a wide range of images. That NN has an image input size of 224-by-224 by default. Using that ResNet50 architecture, an AI module(s)  26   n  model can be created to classify and verify intangible property assets  16   n /data  12   n , such as, for example, trademarks, brand names, designs, company/business names, domain names and/or social media identifiers, etc. The AI module(s)  26   n  could be configured/trained to classify a plurality of images of intangible property assets  16   n . To do this, the AI module(s)  26   n  could be trained with a training set of data from data sources  14   n  that include the likes of Google, WordNet, Word Sense Disambiguation (WSD), etc.; that each contain images  12   n , etc., depicting commonly recognised objects. The AI module(s)  26   n  could be trained to match matching objects in an image to other instances of that object in other images as well as match it to a corresponding word or description. The AI module(s)  26   n  could then be broken up into its 50 layers. Each of the layers having a unique purpose to detect and extract unique image characteristics of the intangible property asset  16   n /data  12   n , including its words, logos, devices, shape, contours, features, etc., that are unique to each image  12   n  at a pixel level. To then hone in on the detection of a chosen image, a number of the layers of the AI module(s)  26   n  could be modified and enhanced, in particular the “Classify layer” which consolidates then categorises the previous 49 layers from the ResNet50 model to uniquely identify an object depicted in the image  12   n . After the initial training, the AI module(s)  26   n  could be further refined and enhanced by providing further images  12   n  for recognition which would result in the AI module(s)  26   n  correctly recognising images  12   n  and detecting these as corresponding to various intangible property assets  16   n  (such as, for example, trademarks, brand names, etc.) with a high degree of accuracy. Such an AI module(s)  26   n  should then be able to either correctly identify whether a selected intangible property asset  16   n  already exists and/or is being in use by another trader(s), or whether the selected intangible property asset  16   n  is a new asset  16   n , that has not been in use and/or is not present on other data sources (such as, for example, IP Australia or social media websites  14   n ). To improve the accuracy of preferred AI module(s)  26   n , of preferred system  10 , the word(s)/image(s)  12   n  that are used in the preliminary/further experimental phases of the development/training/refining of the AI module(s)  26   n  would be carefully chosen so as to ensure that the AI Module(s)  26   n  could readily detect intangible property asset(s)  16   n , such as, for example, trademarks, brand names, images, logos, colours, devices, etc., both in natural and artificial light conditions, and at varying angles, positions, distances and pixel levels/quality, etc. In addition, so as to ensure that the AI module(s)  26   n  was not relying on any intangible property asset  16   n  indicia for identification/verification purposes, the training/test images  12   n  would be artificially stripped of any recognisable branding or other indicia (e.g., associated ownership or product/business details, etc.). This should then result in the AI module(s)  26   n  only being able to identify and verify intangible property asset(s)  16   n  based on the actual image, shape, colour, logo, device, etc (collectively, intangible property asset data  12   n ). Further, it will be appreciated by a skilled person that although ResNet50 NN could be used for preferred AI module(s)  26   n , other resources, such as some pre-canned AWS, Google ML models for generic image classification could also be used. 
     Ongoing training and refinement/enhancement of AI module(s)  26   n , using the same or similar processes/techniques as those outlined above, using an abundance of additional words/images  12   n  (and any other related intangible property asset data  12   n , etc.), of the same and/or all other required intangible property assets  16   n , would result in a state of the art intangible property asset  16   n  search and verification system  10  which includes at its core a novel AI module(s)  26   n  which is able to use intangible property asset data  12   n  obtained from users  20   n  (user  20   n  data sources  14   n ), and trusted and non-trusted third-party data sources or service providers  14   n , along with various image recognition processes/techniques and intelligence gained through deep machine learning, to create a robust, reliable, easy to use single reference to accurately establish the identity, history, ownership, and associated information, etc., of intangible property assets  16   n  with a high degree of accuracy and thus provide information regarding the availability of intangible property asset  16   n  for future use, protection, etc. 
     In order to provide a more detailed understanding of the operation of preferred system  10  of the present invention, and its many various preferred intangible property asset  16   n  identification, verification and/or information display purposes, reference will now be made to the flow diagram of  FIG. 2  which illustrates a preferred embodiment of an intangible property asset  16   n  verification method  100  which is suitable for use with the preferred intangible property asset  16   n  verification system  10  shown in  FIG. 1 . The preferred flow diagram of  FIG. 2  (and hence, preferred intangible property asset  16   n  verification method  100  of the present invention) will be described in conjunction with the exemplary GUI&#39;s  34   n  shown in  FIGS. 3 a  to 3 c , 4 a    &amp;  4   b ,  5   a  &amp;  5   b , and  FIG. 8 , along with the exemplary report(s)  32   n  of  FIGS. 6 a  to 6 e   , and block diagram of  FIG. 7 , each of which illustrate (mostly in steps) the preferred ways in which system  10  may be utilised by a user  20   n  to perform the many various preferred intangible property asset  16   n  search, identification, verification and/or information display purposes described herein. Although a preferred intangible property asset  16   n  verification method  100  will be described with reference to the flow diagram of  FIG. 2 , and the exemplary GUI&#39;s  34   n , report(s)  32   n , and block diagram of FIGS.  3   a  to  8 , it is to be understood that these diagrams only illustrate examples of the way in which intangible property asset data  12   n  may be acquired, aggregated and analysed for intangible property asset  16   n  verification purposes in accordance with the present invention. Many other methods (not shown) may be utilised to achieve the same or similar result and as such the present invention should not be construed as limited to the specific examples provided. Further, it will be appreciated by a skilled person that not all method steps are recited herein, and/or that some method steps that are recited herein are not essential to the operation of method  100 . Various steps that are not recited, or which may be readily omitted or modified, will be readily apparent to a skilled person and thus need not be described in detail herein. Similarly, although exemplary GUI&#39;s  34   n  are shown and described with reference to  FIGS. 3 a  to 5 b   , and  FIG. 8 , it will be appreciated that any suitable GUI(s)  341  may be used depending on the application of system  10 , and the way in which GUI(s)  34   n  of system  10  are accessible via, for example, network(s)  18   n , to user(s)  20   n , via user operable devices  30   n . Further, the content of exemplary GUI&#39;s  34   n  shown in  FIGS. 3 a  to 5 b   , and  FIG. 8 , only represents an example of the type of information that may be displayed to user(s)  20   n  of system  10 . Accordingly, the present invention should not be construed as being limited to any or more of the specific GUI  341  examples provided herein. 
     In  FIG. 2  there is shown a flow diagram which illustrates a preferred embodiment of an intangible property asset  16   n  search and verification method  100  which is suitable for use with the preferred intangible property asset  16   n  verification system  10  shown in  FIG. 1 . As can be seen in this figure, the preferred method  100  may commence at either step  102  or step  110 , depending on whether or not a user  20   n  has previously performed steps  102  to  108 , as will now be described. Similarly, preferred method  100  may commence at step  110  if, for example, a user(s)  20   n  simply wishes to purchase/sell an intangible property asset  16   n , or to engage a Professional/Service Provider in accordance with the present invention. Assuming a user  20   n  has not previously used method  100  (or does not simply wish to go straight to the purchase/sell an intangible property asset  16   n  option, i.e. step  112 , of preferred method  100 , or does not simply wish to go straight to the engage a Professional/Service Provider option, i.e. step  120 , of preferred method  100 ), at step  102  it can be seen that method  100  preferably commences with a user(s)  20   n  using their user operable device(s)  30   n  (and any necessary user interface(s), e.g. external camera, smart glasses, smart watch, etc. (not shown), if required/desired) to enter, scan or otherwise capture initial intangible property asset input data  12   n , e.g. a particular of an intangible property asset&#39;s  16   n  information, such as a word from a trade mark, a logo from a trade mark, a hashtag from an Instagram or Twitter handle, an object from a brand, an image, etc. As was already briefly described above, the initial intangible property asset input data  12   n  may be acquired by a user(s)  20   n  simply accessing and selecting previously captured image(s)  12   n  (still or moving) of the selected intangible property asset  16   n  which may have been previously stored on their user operable device(s)  30   n , or which may be accessible to the user operable device(s)  30   n  via network  18   n  (i.e. image(s)  12   n  of the selected intangible property asset  16   n  which may be readily available via the Internet  18   n , etc.), or may be acquired in real-time wherein a user(s)  20   n  may point or hover, etc., their user operable device(s)  30   n  at/over the selected intangible property asset  16   n  (whether in person, in print, or on a screen, etc.) so that the user operable device(s)  30   n  (using, e.g. an integral or coupled camera, etc.) may capture the required intangible property asset input data  12   n . It will be appreciated that at step  102 , of preferred method  100 , user operable device(s)  30   n  may utilise the one or more preferred user operable device  30   n  based module(s) or application(s) (not shown) described above with reference to (i), for capturing, transmitting, receiving, conveying and/or displaying intangible property asset data  12   n  in accordance with preferred system  10 . Thus, for example, the preferred OCR component/application, etc., of that preferred user operable device  30   n  based module(s)/application(s) (i) may be utilised at step  102  to recognise, capture, convert and/or transmit intangible property asset  16   n  identifier(s)/marker(s)/image(s)  12   n  (not shown—but which may be, for example, the selected intangible property asset&#39;s  16   n  information, such as image, shape, colour, logo, device of a brand, etc.) in the form of the initial intangible property asset input data  12   n . Exemplary GUI(s)  341  which illustrate a preferred way in which step  102 , of preferred method  100 , may be performed in real life are shown in  FIGS. 3 a    &amp;  3   b . In this example, the GUI(s)  341  (and associated preferred module(s)/application(s) (i) (not shown), etc.) is/are installed on a smartphone device  30   n  as shown, and the initial intangible property asset input data  12   n  is being entered/scanned/captured by a user(s)  20   n  pointing the smartphone&#39;s  30   n  integral camera(s) (not shown) at the selected intangible property asset  16   n  (which may be the actual intangible property asset  16   n , or an image  12   n  thereof, etc.). In  FIGS. 3 a    &amp;  3   b , it can be seen that preferred GUI(s)  34   n  may include a nominated region or box  36  (along with user  20   n  instructions  38 , etc.) which may be aligned with the selected intangible property asset&#39;s  16   n  identifier(s)/marker(s)/image(s)  12   n  (e.g. word, picture or a logo,  12   n , etc.) such that OCR technology, etc., (of, for example, module(s)/application(s) (i) (not shown)) may then be used to recognise the target text/image and/or capture the identifier(s)/marker(s)/image(s)  12   n , which can then be used as the required initial intangible property asset input data  12   n  in accordance with step  102 , of preferred method  100 , of the present invention. Whilst any suitable OCR technology may be utilised in accordance with step  102 , of preferred method  100  (and preferred module(s)/application(s) (i) &amp; (iii), etc., of system  10 , as described hereinbefore), it has been found that OCR technology created/provided by companies such as, for example, Anyline GmbH (an Austrian company) or Sensor Dynamics Pty Ltd (an Australian proprietary limited company), is particularly well suited for intangible property asset  16   n  purposes in accordance with the present invention. 
     After step  102 , preferred method  100  continues at step  104 , whereat the initial intangible property asset input data  12   n  is utilised to retrieve further specific intangible property asset data  12   n  from preferred third-party trusted and/or non-trusted data sources  14   n  and/or preferred database(s)/storage device(s)  28   n  (of network server  22   n ). That is, method  100  utilises the initial intangible property asset input data  12   n  acquired at step  102 , to then retrieve or acquire (at step  104 ) further specific intangible property asset data  12   n  that matches, or is associated with, or relates to, the initial intangible property asset input data  12   n , and hence, the selected intangible property asset  16   n  itself. Whilst not specifically shown in the flow diagram of  FIG. 2 , it will be appreciated that at step  104 , preferred method  100  may utilise module(s)/application(s) (ii) (not shown—but as was described above in detail), of system  10 , in order to retrieve and/or acquire the required further specific intangible property asset data  12   n  (from preferred third-party trusted and/or non-trusted data sources  14   n  and/or preferred database(s)/storage device(s)  28   n ). 
     Thereafter, at step  106 , the user(s)  20   n  is/are prompted or otherwise to take/enter/capture/provide a plurality of words/images  12   n  of the selected intangible property asset  16   n  (and particulars thereof, e.g. shape, colour, logo, etc.) at one or at different angles; including images  12   n  that contain the selected intangible property asset&#39;s  16   n  identifier(s)/images(s)/ 12   n  (e.g. ABN/ACN numbers, object shapes, colours, domain names, logos, devices, hashtags, Twitter and/or Instagram handles, etc.). Exemplary GUI(s)  341  which illustrate a preferred way in which step  106 , of preferred method  100 , may be performed in real life are shown in  FIG. 3 c   . Again, like in the case of the exemplary GUI(s)  34   n  shown in  FIGS. 3 a    &amp;  3   b , the exemplary GUI(s)  34   n  (and associated preferred module(s)/application(s) (i) (not shown), etc.) of  FIG. 3 c    is/are installed on a smartphone device  30   n  as shown, and the images  12   n  of the intangible property asset  16   n  are being captured by a user(s)  20   n  pointing the smartphone&#39;s  301  integral camera(s) (not shown) at the selected intangible property asset  16   n  (which may be the actual intangible property asset  16   n , or a word or an image  12   n  thereof, etc.). In  FIG. 3 c   , it can be seen that preferred GUI(s)  34   n  may include user  20   n  instructions  38 , etc., to prompt the user(s)  20   n  to take/capture the required images  12   n  at varying angles, and/or take images closer or further away from the object, and/or provide any further identifiers  12   n  such as the colour of the object, information, etc., with the selected intangible property asset&#39;s  16   n  identifier(s)/marker(s)/image(s)  12   n  being visible in at least one of those words/images  12   n . Although not specifically shown in the flow diagram of  FIG. 2 , at step  106 , preferred method  100  may utilise object detection and/or OCR technology, etc. (of, for example, module(s)/application(s) (i) and/or (iii) (not shown) described above) for analysing and recognising particulars (including, but not limited to: the shape/colour/image of an intangible property asset  16   n , its features, and/or its identifier(s)/marker(s)/image(s)  12   n , etc.) of the selected intangible property asset  16   n  shown in the images  12   n  (whether they be live, stored, still or moving images  12   n , etc.) captured and/or otherwise acquired at this step. OCR technology suitable for use at step  106 , of preferred method  100  (and preferred module(s)/application(s) (i) &amp; (iii), etc., of system  10 , as described hereinbefore), if required/desired, has already been outlined above. Whilst any suitable object detection technology/processes may be utilised in accordance with step  106 , of preferred method  100  (and preferred module(s)/application(s) (i) &amp; (iii), etc., of system  10 , as described hereinbefore), if required/desired, it has been found that object detection technology provided by Tensorflow (created by Google, Inc.) is particularly well suited for intangible property asset  16   n  purposes in accordance with the present invention. Using the preferred Tensorflow object detection framework, preferred module(s)/application(s)  26   n  (including preferred modules (i), (iii) and/or (iv) described above) of system  10 , etc., are able to be trained to detect the boundaries and details of a specific intangible property asset  16   n  shown in the captured/acquired words/images  12   n , which in conjunction with OCR technology (such as the OCR technology described hereinbefore), then enables the mechanical or electronic conversion of the words/images  12   n  which contain typed, handwritten and/or printed text, into machine-encoded text which represents, for example, the selected intangible property asset&#39;s  16   n  particulars, such as a word, name, number, picture  12   n , etc. 
     After step  106 , preferred method  100  continues at step  108 , whereat the intangible property asset data  12   n  (including the plurality of words/images  12   n , etc.), for the selected intangible property asset  16   n , acquired throughout steps  102  to  106 , is aggregated and stored in, for example, database(s)/storage device(s)  28   n , of network server  22   n , of system  10 . That acquired/aggregated/stored intangible property asset data  12   n  is then analysed, assessed and used to retrieve/acquire any further necessary intangible property asset data  12   n  from trusted (e.g. from IP Australia, ASIC, the PPSR, etc.) and non-trusted (e.g. from Google, Facebook, Pinterest, Instagram, Twitter, Whois Domain Lookup, etc.) third-party data sources  14   n , and/or from database(s)/storage device(s)  28   n , of network server  22   n , using, for example, preferred module(s)/application(s) (ii) to (iv) (not shown—but as were described in detail hereinbefore) of system  10 . When all necessary intangible property asset data  12   n , for the selected intangible property asset  16   n , has been acquired/captured, or as the necessary intangible property asset data  12   n  is being continually obtained, or obtained as required (i.e. on demand, etc.), the preferred AI module(s)  26   n , of system  10 , is/are preferably used at step  108  in order to, for example: analyse and verify the intangible property asset data  12   n  (including acquired words/images  12   n ) and/or the selected intangible property asset  16   n  itself (and/or its associated information, such as ownership, related goods and/or services, etc., thereof); interpret any administrative nuances; and, filter out any extraneous information/data  12   n  etc.; in order to collectively make ‘human like’ predictions about whether or not the selected intangible property asset  16   n  is available for use, registration and/or protection in accordance with the present invention. 
     As can be seen in the flow diagram of  FIG. 2 , after steps  102  through to  108  have been performed/completed, preferred method  100  of the present invention then enables a user(s)  20   n , at decision step  110 , to select one or more of a number of preferred intangible property asset  16   n  identification, verification and/or information display options/features that may be performed/utilised in accordance with the present invention. If at decision step  110 , a user(s)  20   n  does not wish, or fails, to select an available option, then preferred method  100  may simply end, as shown in  FIG. 2 , or may loop back or stall (not shown) as necessary awaiting a user(s)  20   n  command. Alternatively, at decision step  110 , a user(s)  20   n  may opt to select from the one or more preferred options/features as shown in  FIG. 2 . Those preferred options/features including, but not limited to: (step  112 ) sell/buy an intangible property asset  16   n ; (step  114 ) conduct a live discovery review and explore a report(s)  32   n  using live or real-time discovery of an intangible property asset  16   n  and/or features/specifications/information, etc., thereof; (step  116 ) record or manage an intangible property asset  16   n  security interest; (step  118 ) proceed to register an intangible property asset  16   n  with a governing body(ies), etc.; and/or, (step  120 ) engage an intellectual property industry professional or a service provider (such as a Trade Marks Attorney, a graphic designer, a photographer, or a marketing specialist—not shown) to assist with further matters associated with a selected intangible property asset  16   n . Using the preferred report(s)  32   n , an intellectual property industry professional or a service provider (not shown) may then assist with filing and/or registration or protection of an intangible property asset  16   n —if it is a registrable/protectable intangible property asset  16   n , such as, for example, an intellectual property right or a domain name, etc. — or may use the preferred report(s)  32   n  to, for example: assess the likelihood of an infringement; use it as a basis for seeking consent to the use of an intangible property asset  16   n ; and/or, lodge an application for revocation of a trade mark for non-use, etc. Furthermore, the preferred report(s)  32   n  could also preferably be used as a basis for licensing and/or franchising opportunities, etc. Although specific intangible property asset  16   n  embodiments/options, etc., are shown and described herein with reference to  FIGS. 2 to 8 , it should be appreciated that the present invention is not limited to that use, or those examples, only. 
     Exemplary GUI(s)  341  which illustrate a preferred way in which each of the preferred options/features (i.e., steps  112  to  120 ) of preferred method  100  may be accessed at decision step  110 , are shown in  FIGS. 4 a    &amp;  4   b . Again, like in the case of the exemplary GUI(s)  34   n  shown in  FIGS. 3 a  to 3 c   , the exemplary GUI(s)  34   n  of  FIGS. 4 a    &amp;  4   b  is/are installed on a smartphone device  30   n  as shown. In  FIG. 4 a   , the GUI(s)  34   n  is in a preferred state (at decision step  110 ) after each of steps  102  through to  108  have been completed. Here it can be seen that aside from showing images/information  12   n  about the selected intangible property asset  16   n , which may be toggled or scrolled through by way of navigation region  40 , etc., exemplary GUI(s)  341  may also provide a number of preferred buttons or navigation region(s)  42   n  (collectively referred to as “button(s)  42   n ”) which may enable various preferred features and/or screens of exemplary GUI(s)  341  to be accessed/viewed, etc., as desired/required. For example, a series of button(s)  42   n  may be provided along the bottom of GUI(s)  34   n , as shown, to enable a user(s)  20   n  to access and/or view, for example, various preferred trade mark related data and/or features  44   n , etc., related to the selected intangible property asset  16   n  (wherein, in the example of  FIG. 4 a   , the intangible property asset  16   n  is a trade mark) and/or system  10 , such as, for example: a forum/chat and/or AI robot help desk assistant  45 ; a button  46  which a user(s)  20   n  can selectively utilise to access an intangible property asset  16   n  status report page(s), for viewing or requesting intangible property asset data  12   n  reports  32   n  (such as, for example, a trade mark status report, or validation reports  32   n , transaction reports/receipts  32   n , etc., as shown and described with reference to system  10 , of  FIG. 1 ); a related information page  47  concerning intangible property assets  16   n ; and/or, a page or assistant  48  for enabling a user(s)  20  to, for example, selectively upload or otherwise capture/store, selective intangible property asset  16   n  associated information, such as history, notes, etc.  12   n  (in the case of a trade mark, this could be information relating to an assignment and/or particulars of the goods/services, etc.). Also, preferably provided is a separate button(s)  42   n  (for example, an ‘Explore Your Trade Mark No.: 12345 button(s)  42   n  in the embodiment shown in  FIG. 4 a   ) for accessing the further preferred GUI(s)  34   n  screen shown in  FIG. 4 b   , which GUI(s)  34   n  screen provides/presents a user(s)  20   n  with a series of navigation regions or button(s)  42   n  that the user(s)  20   n  may opt to use to selectively access/utilise the preferred options/features (i.e. steps  112  to  120 ) of preferred method  100  of the present invention. Referring to  FIG. 4 b   , it can be seen that exemplary GUI(s)  34   n  preferably includes a separate region(s)/button(s)  42   n  for accessing/utilising each of steps  112  to  120  (and their associated options/features, etc.) of preferred method  100  of the present invention. Finally, the exemplary GUI(s)  341  of both  FIGS. 4 a  and 4 b    may also preferably provide user  20   n  instructions and/or intangible property asset  16   n  details, in the form of a dedicated area(s) of region(s)  38  of GUI(s)  34   n , as shown. Whist specific intangible property asset  16   n  information/data  12   n , and button(s)  42   n  and region(s)  38  (and associated features, etc., e.g. features  45  to  48 , etc.) are shown and described herein as being visible/accessible/usable within the exemplary GUI(s)  34   n  of  FIGS. 4 a    &amp;  4   b , it should be appreciated that the present invention is not limited to the specific examples provided. 
     If a user(s)  20   n  opts to select the ‘sell/buy an intangible asset  16   n ’ option, i.e. step  112 , of preferred method  100  (using, e.g. the applicable button(s)  42   n , i.e. “Sell Your Trade Mark” in this embodiment, shown in the exemplary GUI(s)  34   n  of  FIG. 4 b   ), then method  100  continues at decision step  122 , whereat a check is preferably made (either automatically, or upon instruction from user(s)  20   n , etc.) to see whether the user(s)  20   n  has a user account with the applicable intangible classifieds business, auctioneer, etc. (e.g. Gumtree, Facebook, Twitter, etc. — hereinafter, collectively referred to as “sales site(s)”)—i.e. whether the specific user(s)  20   n  is authorised to list the selected intangible property asset  16   n  for sale via the chosen and/or predetermined sales site(s). If at decision step  122  it is determined that the user(s)  20   n  does have an account with the chosen and/or predetermined sales site(s), then method  100  continues at step  124 , whereat any available previously verified (e.g. at step  108 , of preferred method  100 , using, for example, AI module(s)  26   n  of network server  22   n , of system  10 ) intangible property asset data  12   n  necessary for listing the selected intangible property asset  16   n  for sale via that sales site(s) is automatically populated/provided to that sales site(s). Alternatively, if at decision step  122  it is determined that the user(s)  20   n  does not have an account with the chosen and/or predetermined sales site(s), then method  100  continues at step  126 , whereat the user(s)  20   n  may be prompted to create a user account with the chosen and/or predetermined sales site(s), or method  100  may in itself automatically create the necessary user account on behalf of the user(s)  20   n  as shown. Thereafter, preferred method  100  continues as before at step  124 , whereat any available previously verified intangible property asset data  12   n  necessary for listing the selected intangible property asset  16   n  for sale via that sales site(s) is automatically populated/provided to that sales site(s). Although not shown in the flow diagram of  FIG. 2 , at either of steps  112  or  124 , the preferred method  100  may prompt and/or otherwise enable a user(s)  20   n  to manually add some additional predetermined intangible property asset data  12   n , such as, for example, the intangible property asset&#39;s  16   n  sale price, goods or services traded  12   n , etc., to the sales site(s) listing for the selected intangible property asset  16   n . Method  100  then continues at decision step  128 , whereat if the user(s)  20   n  wishes to finish using method  100 , or fails to select an option, preferred method may simply end, as shown in  FIG. 2 , or may loop back or stall (not shown) as necessary awaiting a user(s)  20   n  command. Alternatively, at decision step  128  a user(s)  20   n  may elect (at step  130 ) to return to either the start of method  100  (e.g. step  102 , whereat the user  20  may choose to capture, search, and verify, etc., intangible property asset data  12   n  concerning a different intangible property asset  16   n ), or to decision step  110  of method  100 , whereat user(s)  20   n  may choose to utilise any one of preferred options/features  112  to  120  as herein described. 
     Exemplary GUI(s)  34   n  which illustrate an example of the sort of intangible property asset data  12   n  that may be displayed/accessed to/by a user(s)  20   n  at the ‘sell/buy an intangible property asset  16   n ’ option, i.e. step  112 , of preferred method  100 , are shown in  FIGS. 5 a    &amp;  5   b . Again, like in the case of the exemplary GUI(s)  34   n  shown in  FIGS. 3 a  to 4 b   , the exemplary GUI(s)  341  (and any associated preferred module(s)/application(s), such as, for example, module(s) (i)—not shown, but as was discussed in detail above) of  FIGS. 5 a  and 5 b    is/are installed on a smartphone device  30   n  as shown. In  FIG. 5 a   , it can be seen that exemplary GUI(s)  34   n  may preferably show/provide one or more words/images  12   n  of the selected intangible property asset  16   n , along with any necessary instructions  38  or associated data  12   n . Referring now to both  FIGS. 5 a    &amp;  5   b , it can be seen that exemplary GUI(s)  34   n  may also preferably include one or more field(s) or region(s)  50 , such as, for example, a sale price field  50 , as shown in both  FIGS. 5 a    &amp;  5   b , or trade mark classes or filing date field(s)  50 , as shown in  FIG. 5 b   , which may either be automatically populated by system  10  (i.e. based on, for example, an AI valuation of the selected intangible asset  16   n , or by being detected in one or more image(s)  12   n  of the selected intangible property asset  16   n , etc.), or which may be populated by a user(s)  20   n , as desired (e.g. with or without the need to override any system  10  generated sales price, and other particulars,  12   n  etc.). In  FIG. 5 b   , it can be seen that further pages/screens of exemplary GUI(s)  34   n  may also preferably be accessed/provided to user(s)  20   n  at or during step  112  (and associated steps), of preferred method  100 , of the present invention. As is shown in this figure, it is preferred that the intangible property asset data  12   n  displayed within those preferred GUI(s)  34   n  is able to be toggled or scrolled, etc., by way of navigation region(s)  40  or button(s)  42   n . Within the exemplary GUI(s)  341  shown in  FIG. 5 b   , it can be seen that various intangible property asset data  12   n  for the selected intangible property asset  16   n , including the filing date, ownership details, classes, and other particulars  12   n , etc., has been automatically populated on those pages (which are preferably pages of one or more chosen and/or predetermined sales site(s)) such that the selected intangible property asset  16   n  may be, or has been, listed for sale via the chosen and/or predetermined sales site(s). In addition, and importantly, in the exemplary GUI(s)  34   n  of  FIG. 5 b   , it is preferred that some form of marking(s), badge(s), shield(s), and/or indicia  52 , etc., is clearly shown or otherwise provided to indicate that at least the important intangible property asset data  12   n  (including one or more words/images  12   n  of the selected intangible property asset  16   n ) displayed/presented within GUI(s)  34   n  has been searched, analysed and verified (at step  108 , of preferred method  100 ) as being true and correct by way of AI module(s)  26   n , etc., of system  10 . 
     Although not shown in the flow diagram of  FIG. 2 , or shown or described with reference to the exemplary GUI(s)  34   n  of  FIGS. 5 a  and 5 b   , it will be appreciated that various forms of intangible property asset data  12   n  related report(s), receipt(s), etc.  32   n , such as, for example, intangible property asset data  12   n  validation report(s)  32   n , etc., as shown and described with reference to system  10 , of  FIG. 1 , may be requested and/or otherwise provided to user(s)  20   n  as part of the ‘sell/buy an intangible property asset  16   n ’ option, i.e. step  112 , and associated steps, of preferred method  100 , of the present invention. 
     Accordingly, it should be appreciated that each of  FIG. 2  and  FIGS. 5 a  and 5 b   , clearly illustrate that preferred system  10  and/or method  100  of the present invention, readily provides an automated process(es) for capturing, analysing, verifying and/or displaying intangible property asset data  12   n  for the purpose of listing a selected intangible property asset  16   n  for sale or purchase via one or more chosen and/or predetermined sales site(s), etc. Such an automated process(es) provides many benefits in terms of selling/buying an intangible property asset  16   n , including, but not limited to: business owner&#39;s (user(s)  20   n ) having the ability to check the availability of a business name for purchasing of intangible property asset(s)  16   n  and if available, can proceed to contact the owner of that asset  16   n . The advantages of this method include provision of an established history of the asset  16   n , etc.; specifications and related information of an intangible property asset  16   n  can easily be provided/displayed to a buyer and/or business owner (user(s)  20   n ); peace of mind that the intangible property asset data  12   n  acquired from the seller (user  20   n ) of an intangible property asset  161  has been validated and verified as true and correct, etc.; quick access to intangible property asset data  12   n ; ‘click and view’ of related details, specifications and information/data  12   n  concerning intangible property assets  16   n ; trust transparency between buyers (user(s)  20   n ) and sellers (user(s)  20   n ); display of intangible property asset data  12   n  to consumers (and user(s)  20   n ) in a detailed and simplified format; verification of information/data  12   n  presented from relevant authorities (i.e. trusted and non-trusted data sources  14   n ); and/or, ability to automatically obtain intangible property asset data  12   n  via a photo, video, etc. (i.e. images  12   n ), and from one or more intangible property asset  16   n  identifier(s)/marker(s)/images(s)  12   n  (e.g. business name, trade mark, logo, picture, etc.). Whilst such an automated process(es) also overcomes known problems associated with the sale of an intangible property asset  16   n , including, but not limited to: multiple ways to obtain intangible property asset data  12   n  from data sources  14   n  such as, for example, IP Australia, PPSR, ASIC, LinkedIn, Facebook, etc.; consumers (user(s)  20 ) needing to seek out intangible property asset information/data  12   n  from various data sources  14   n —where the provided data  12   n  may not be accurate, etc.; difficulties associated with determining an intangible property asset&#39;s  16   n  availability, including part or whole trade mark availability and/or similarity to the existing trademarks, etc.; time and money wasted in searching for intangible property asset data  12   n  for a specific intangible property asset  16   n ; intangible property asset  16   n  owners (user(s)  20   n ) being unable to adequately or efficiently register their intangible property assets  16   n ; intangible property asset data  12   n  entry and access problems and/or errors; and/or, lack of (or difficulties associated with) integration with third-party data sources  141 . 
     If a user(s)  20  opts to select the ‘live discovery review and explore of report  32   n ’ option, following step  110 , of preferred method  100  (using, e.g. the applicable ‘Live Discovery Review’ button(s)  42   n  shown in the exemplary GUI(s)  34   n  of  FIG. 4 b   ), then method  100  continues at step  114 , whereat a user(s)  20   n  may selectively and interactively explore, browse, research, review, etc., intangible property asset data  12   n  associated with one or more retrieved intangible property assets  16   n  and/or their particulars, features, specifications, similar assets, etc., thereof, as will be described in further detail below with reference to  FIGS. 6 a  to 6 e   . After a user(s)  20   n  is finished exploring, researching, etc., desired intangible property asset data  12   n  associated with one or more selected intangible property asset(s)  16   n , method  100  then continues at decision step  128 , as before described, whereat if the user(s)  20   n  wishes to finish using method  100 , or fails to select an option, etc., preferred method  100  may simply end, loop back, stall, etc., or may return (at step  130 ) to either step  102  or decision step  110  of method  100 , as herein described, should the user(s)  20   n  wish to continue using method  100 . 
       FIGS. 6 a  to 6 e    illustrate examples of a preferred report(s)  32   n  which a user(s)  20   n  may explore, research, browse etc., for intangible property asset data/images/features, etc.  12   n , of a selected intangible property asset(s)  16   n  in accordance with the ‘live discovery review and explore of report  32   n ’ of an intangible property asset  16   n  option, i.e., step  114 , of preferred method  100 . In  FIGS. 6 a  to 6 e   , a preferred embodiment of a report(s)  32   n  showing how a user(s)  20   n  may explore, research, etc., the features, etc.  12   n  of a selected intangible property asset  16   n  is illustrated, which in this embodiment, is preferably depicted on a screen (not shown), etc., of a user operable device(s)  30   n , e.g., a smartphone  30   n . In this example, a user  20   n  has enquired about the availability of an intangible property asset  16   n  in the form of a brand name “BrandHub” in New Zealand and entered the word “BrandHub” at step  102  followed by entering letters “NZ” at step  106 . As can be seen in  FIGS. 6 a  to 6 e   , preferred method  100  has then produced a report(s)  32   n  showing the availability of the selected brand name (i.e., intangible property asset  16   n ) and associated information from the following preferred platforms (i.e., third party data sources  14   n ): Instagram, Facebook, IP Australia, ASIC, and, a domain name registry Whois search provider. In an alternative preferred embodiment (not shown), a user(s)  20   n  may explore, research, hover over and view two-dimensional and three-dimensional shapes, etc., the features, etc.  12   n  of a selected intangible property asset  16   n  using a preferred augmented reality environment which may be created in accordance with system  10  and/or method  100  of the present invention. Whilst any suitable augmented reality technology/techniques may be utilised in accordance with step  114 , of preferred method  100 , of the present invention, it has been found that augmented reality technology known as Vuforia (developed by PTC, a United States corporation) is particularly well suited for use with intangible property assets  16   n  in accordance with the present invention. 
     In embodiments shown in  FIGS. 6 a  to 6 e   , it can be seen that at step  114 , of preferred method  100 , the GUI(s) (and associated module(s)/application(s) (i) (not shown)) are preferably configured/designed to recognise (using object detection, OCR and AI technology, etc., as hereinbefore described) the selected intangible property asset  16   n  (whether a word(s)/image(s)  12   n  of the intangible property asset  16   n  and/or a live or real-time capture of the intangible property asset  16   n ) and to then overlay (or otherwise) that intangible property asset  16   n  with selectable region(s), button(s), text and/or animations, etc. (collectively referred to hereinafter as “informative object(s)  54   n ”) which can then be viewed, selected, hovered-over, etc., by a user(s)  20   n , as desired within report(s)  32   n , so as to enable the user(s)  20   n  to readily explore, etc., and learn about the various features, etc.  12   n , and associated intangible property asset  16   n . The exploration of a report(s)  32   n  may allow a user  20   n  (at step  127 ) to view an intangible property asset  16   n  and or its features  12   n , and/or to perform any, but not limited to the following, actions: to follow the business/Instagram handle/Twitter handle/Pinterest handle, to contact the owner for general information, to contact the owner for asset-specific information, such as for example to acquire, seek permission, license, franchise the use of the intangible property asset  16   n , and/or contact the business, to watch the intangible property asset  16   n  for status updates (for example if it is a Trade Mark Application, or Instagram handle), to seek a valuation of the intangible property asset  16   n , to view Trade Mark status reports, to view company registration and associated details, etc. 
     Although not shown in the flow diagram of  FIG. 2 , or shown or described with reference to  FIGS. 6 a  to 6 e   , it will be appreciated that various forms of intangible property asset data  12   n  related report(s), etc.  32   n , such as, for example, intangible property asset  16   n  validation reports  32   n , transaction reports/receipts  32   n , etc., as shown and described with reference to system  10 , of  FIG. 1 , may be requested and/or otherwise provided to user(s)  20   n  as part of the ‘live discovery review and explore of report  32   n ’ option, i.e. step  114 , of preferred method  100 , of the present invention. 
     Accordingly, it should be appreciated that each of  FIG. 2  and  FIGS. 6 a  to 6 e   , clearly illustrate that preferred system  10  and/or method  100  of the present invention, readily provides an automated process(es) which may be utilised by a user(s)  20   n  to selectively and interactively explore, research, review, etc., intangible property asset data  12   n  concerning one or more selected intangible property assets  16   n  and/or its related information  12   n . Such an automated process(es) provides many benefits in terms of exploring or researching, etc., the features, etc.  12   n  of an intangible property asset  16   n , including, but not limited to: easy one-place reference, quick access to intangible property asset data  12   n ; ‘click and view’ of ownership details and other associated information/data  12   n  concerning intangible property assets  16   n ; utilisation of artificial intelligence and related technology (e.g. module(s)/application(s) (ii) to (iv) as described hereinbefore, including, importantly, AI module(s)  26   n ) which collates/aggregates data  12   n  from various relevant authorities  14   n  which are licenced to hold such information  12   n ; display of intangible property asset data  12   n  to user(s)  20   n  in a detailed and simplified format; and/or, verification and providing information on the availability for use of an intangible property asset  16   n  or data/information  12   n  prior to (or during) display/provision to a user(s)  20   n . Whilst such an automated process(es) also overcomes known problems associated with the existing techniques for exploring and/or researching, etc., intangible property asset data  12   n  or intangible property assets  16   n , including, but not limited to: multiple ways to obtain intangible property asset data  12   n  from data sources  14   n  such as, for example, IP Australia, PPSR, ASIC, Facebook, Twitter, etc.; consumers (user(s)  20   n ) needing to seek out intangible property asset information/data  12   n  from various data sources  14   n —where provided data  12   n  may not be accurate, etc.; difficulties associated with determining an intangible property asset&#39;s  16   n  similarity and/or availability, paying multiple fees for obtaining required information, etc.; time and money wasted in searching for intangible property asset data  12   n  for a specific intangible property asset  16   n ; comparing results from multiple sources, making an assessment whether the proposed/searched for intangible property asset  16   n  is identical or similar to an intangible property asset  16   n  provided as a result of the search and verification method; intangible property asset data  12   n  entry and access problems and/or errors; and/or, lack of (or difficulties associated with) integration with third-party data sources  141 . 
     If a user(s)  20  opts to select the ‘manage asset security interest’ option, i.e. following step  110 , of preferred method  100  (using, e.g. the applicable ‘Asset Security Interest’ button(s)  42   n  shown in the exemplary GUI(s)  34   n  of  FIG. 4 b   ), then method  100  continues at step  116 , whereat a user(s)  20   n  may selectively record, modify, remove, etc., an intangible property asset  16   n  security interest, as will be described in further detail below with reference to exemplary block diagram of  FIG. 7 . After a user(s)  20   n  is finished recording, modifying, removing, etc., a desired/required intangible property asset  16   n  security interest, method  100  then continues at decision step  128 , as before described, whereat if the user(s)  20   n  wishes to finish using method  100 , or fails to select an option, etc., preferred method  100  may simply end, loop back, stall, etc., or may return (at step  130 ) to either step  102  or decision step  110  of method  100 , as herein described, should the user(s)  20   n  wish to continue using method  100 . 
     An exemplary block diagram which illustrates examples of the way in which various user(s)  20   n  may record, modify, remove, etc., intangible property asset  16   n  security interest(s) in accordance the ‘manage asset security interest’ option, i.e. step  116 , of preferred method  100 , is shown in  FIG. 7 . In this figure it can be seen that any of a variety of parties (all collectively referred to as “user(s)  20   n ”) that may be involved in an intangible property asset  16   n  security interest(s), such as, for example: intangible property asset  16   n  owner(s)  20   n ; finance providers  20   n  (e.g. banks, credit agencies, etc.); insurance companies  20   n ; secured parties  20   n  (e.g. private lenders, etc.); and/or, surety bond providers or other forms of guarantors, etc.  20   n ; may selectively utilise the system  10  and/or method  100  of the present invention, as required/desired, in to record, modify, remove, etc., an intangible property asset  16   n  security interest(s) with the applicable trusted third-party service provider(s)  14   n , such as, for example, the PPSR as shown, without the need to interact directly with the/that third-party service provider(s)  14   n . That is, network server  22   n , of system  10 , is also preferably configured to act as an intermediary between the various parties (user(s)  20   n ) of an intangible property asset  16   n  security interest(s) and the appointed government agency(ies) or service provider(s)  14   n  (which in the case of Australia, is the PPSR) that are responsible for maintaining security interests or caveats concerning intangible property assets  16   n , etc. In this way, system  10  and/or method  100  of the present invention, including importantly its AI module(s)  26   n , etc., provides a novel and important means of, for example, preventing fraud, whilst automatically maintaining recorded security interest(s) integrity, etc. 
     Additionally, and as can also be seen in  FIG. 7 , aside from readily enabling the various concerned parties (user(s)  20   n ) themselves to record, modify, remove, etc., any desired or necessary intangible property asset  16   n  security interest(s), at step  116 , of preferred method  100 , system  10  may also preferably provide a service wherein it (i.e. the administrator(s) or provider(s) of system  10 ) acts as a custodian trustee (“system custodian trust  22   n ”), wherein the system custodian trustee  22   n  may register, modify, remove, etc., security interest(s) on behalf of, for example, the owner (user(s)  20   n ) of an intangible property asset(s)  16   n , or the finance provider or lender  20   n , etc. Alternatively, another party (user(s)  20   n ), such as, for example, InfoTrack (an Australian company), may act as a custodian trustee on behalf of system  10 , and may register, modify, remove, intangible property asset  16   n  security interest(s) on behalf of others (including user(s)  20   n ). In both of these preferred embodiments, the administrator(s)/provider(s) of system  10  (not shown), or the other party (e.g., InfoTrack, etc.)  20   n , may hold any necessary surety bond(s), guarantees, etc., as required in accordance with typical security interest records. 
     Although not specifically shown in the flow diagram of  FIG. 2 , but as can be seen in the exemplary block diagram of  FIG. 7 , and as is shown and described with reference to system  10 , of  FIG. 1 , it will be appreciated that various forms of report(s), receipt(s), etc.  32   n , such as, for example, PPSR report(s)  32   n  and related transaction receipt(s)  32   n , etc., may be requested and/or otherwise provided to user(s)  20   n  as part of the ‘manage asset security interest’ option, i.e. step  116 , of preferred method  100 , of the present invention. 
     Accordingly, it should be appreciated that each of  FIGS. 2 &amp; 7 , clearly illustrate that preferred system  10  and/or method  100  of the present invention, readily provides an automated process(es) which may be utilised by user(s)  20   n  to selectively record, modify, etc., intangible property asset  16   n  security interest(s) as desired/required. Such an automated process(es) provides many benefits in terms of the recordal or modification, etc., of security interests, including, but not limited to: piece of mind for intangible property asset  16   n  owners (user(s)  20   n ); quick access to intangible property asset data  12   n  associated with the security interest, etc.; utilisation of artificial intelligence and related technology (e.g. module(s)/application(s) (ii) to (iv) as described hereinbefore, including, importantly, AI module(s)  26   n ) which collates/aggregates data  12   n  from various relevant authorities  14   n  which are licenced to hold such information  12   n ; providing information regarding any security interest on an intangible property asset  16   n  to a delegate of an Intellectual Property Office when there is a need to record an assignment and/or change of ownership of an intellectual property asset  16   n ; display of intangible property asset data  12   n  to user(s)  20   n  in a detailed and simplified format; verification of the intangible property asset data/information  12   n  prior to (or during) security interest recordal, modification, etc., and/or display/provision to a user(s)  20   n ; and/or, provides a means to prevent fraud and to automatically maintain recorded security interest(s) integrity, etc. Whilst such an automated process(es) also overcomes known problems associated with the existing techniques in terms of the recordal or modification, etc., of security interests, including, but not limited to: time and money wasted in searching for intangible property asset data  12   n  for a specific intangible property asset  16   n ; intangible property asset data  12   n  entry and access problems and/or errors; and/or, lack of (or difficulties associated with) integration with third-party data sources  14   n . 
     If a user(s)  20  opts to select the ‘Proceed to Register the intangible property asset”  16   n  option, i.e. following step  110 , of preferred method  100  (using, e.g. the applicable button(s)  42   n , i.e. “Register a Domain Name” in the embodiment shown in the exemplary GUI(s)  34   n  of  FIG. 4 b   ), then method  100  continues at step  118 , whereat a user(s)  20   n  may selectively opt for any of the following options, including, but not limited to the following: contact a corresponding governing authority, such as IP Australia to file an application for a Trade Mark; file a Trade Mark Application directly with IP Australia; utilise IP Australia&#39;s assisted trade mark filing service (known as their “Trade Mark HeadStart” service); register a company or business name with ASIC and/or other relevant authority; register a domain name; and/or, register an Instagram/Twitter/Pinterest handle; etc. After a user(s)  20   n  is finished registering one or more selected intangible property asset(s)  16   n , etc., method  100  then continues at decision step  128 , as before described, whereat if the user(s)  20   n  wishes to finish using method  100 , or fails to select an option, etc., preferred method  100  may simply end, loop back, stall, etc., or may return (at step  130 ) to either step  102  or decision step  110  of method  100 , as herein described, should the user(s)  20   n  wish to continue using method  100 . 
     If a user(s)  20   n  opts to select the ‘Engage a Professional/Service Provider” option, i.e. following step  110 , of preferred method  100  (using, e.g. the applicable “Contact Professional Service Provider’ button(s)  42   n  shown in the exemplary GUI(s)  34   n  of  FIG. 4 b   ), then method  100  continues at step  120 , whereat a user(s)  20   n  may be directed to the following options, including, but not limited: engage an intellectual property industry professional or a service provider (such as a Trade Marks Attorney, a graphic designer, a photographer, or a marketing specialist—not shown) to assist with further matters associated with a selected intangible property asset  16   n . Using the preferred report(s)  32   n , generated by system  10  and/or method  100  of the present invention, an intellectual property industry professional or a service provider (not shown) may then assist with filing and/or registration or protection of an intangible property asset  16   n —if it is a registrable\protectable intangible property asset  16   n , such as, for example, an intellectual property right or a domain name, etc. — or may use the preferred report(s)  32   n  to, for example: assess the likelihood of an infringement; use it as a basis for seeking consent to the use of an intangible property asset  16   n ; and/or, lodge an application for revocation of a trade mark for non-use, etc. Furthermore, these professionals or service providers may provide assistance with the following: the launch of a new brand, the preparation of a new logo, creation and/or preparation of text and/or pictures for social media and/or catalogues, etc. 
     Although not specifically shown in the flow diagram of  FIG. 2 , but as can be seen in  FIG. 8 , and as is shown and described with reference to system  10 , of  FIG. 1 , it will be appreciated that various forms of screen(s)/page(s), report(s), receipt(s), etc.  32   n , may be requested and/or otherwise provided to user(s)  20   n  as part of step  110  (or other steps), of preferred method  100 , shown in  FIG. 2 . As can be seen in  FIG. 8 , that exemplary screen(s)/page(s)/report(s)  32   n , may contain feature(s)  12   n  of the intangible property asset  16   n , and options  42   n  available to the user, that must be selected for proceeding with for example, accessing a summary report for the intangible property  16   n  for particulars and asset data  12   n  and/or selecting an option of personalising and/or producing an intangible property asset  16   n  (such as a brand, in this specific case, where a name of the brand is # brandcreate), and/or if the user(s)  20   n  is content with launching their brand, then they can select the ‘launch’ option. This option would proceed to similar options as those for ‘Proceed to Register an intangible property asset’  16   n  as described above and would connect the user to authorities that enable the registration (such as IP Australia, ASIC, Instagram, Twitter or other websites), etc. 
     Accordingly, it should be appreciated that each of  FIG. 1  to  FIG. 8 , clearly illustrate that preferred system  10  and/or method  100  of the present invention, readily provides an automated process(es) which may be utilised by a user(s)  20  to acquire information regarding intangible property asset  16   n  and predict its availability for use, etc. Such an automated process(es) provides many benefits in terms of predicting availability of an intangible property asset  16   n , etc., including, but not limited to: quick access to intangible property asset data  12   n ; utilisation of artificial intelligence and related technology (e.g. module(s)/application(s) (ii) to (iv) as described hereinbefore, including, importantly, AI module(s)  26   n ) which collates/aggregates data  12   n  from various relevant authorities  14   n  which are licenced to hold such information  12   n ; display of intangible property asset data  12   n  to user(s)  20   n  in a detailed and simplified format; ability for industry personnel (user(s)  20   n ) to utilise the automated process(es) to assess at least the availability of intangible property asset  16   n  for use, to build, personalise, protect and register intangible property assets  16   n ; verification of the intangible property asset(s)  16   n  and/or data/information  12   n  prior to (or during) the registration/protection of same; and/or, integration with third-party parts suppliers or authorities enabling quick access to registration/protection and/or launching of an intangible property asset  16   n , etc. Whilst such an automated process(es) also overcomes known problems associated with the existing techniques/processes for acquiring/retrieving intangible property asset  16   n  information, etc., including, but not limited to: laborious and time consuming mostly manual processes which often lead to inaccurate information, etc.; intangible property asset data  12   n  entry and access problems and/or errors; lack of (or difficulties associated with) integration with third-party data sources  14   n ; the need to know the availability of a specific intangible property asset  16   n  and the need to avoid infringement of other intangible property assets  16   n . 
     The present invention therefore provides a novel and useful asset verification system  10  and/or method  100  which is particularly well suited for acquiring, aggregating and analysing intangible property asset data  12   n  from multiple data sources  14   n  for various intangible property asset  16   n  identification, verification and/or information display purposes. Many advantages of the present invention will be apparent from the detailed description of the preferred embodiments provided hereinbefore. Examples of those advantages include, but are not limited to: the provision of a robust, reliable and easy to use single reference for intangible property asset  16   n  information  12   n  which can readily be used to verify the history, authenticity, etc., of intangible property assets  16   n  with a high degree of accuracy; the ability to differentiate between correct and incorrect (or fraudulent), as well as related and un-related data  12   n , interpret administration nuances, filter out extraneous information/data  12   n  and/or make ‘human like’ predictions about the availability of intangible property assets  16   n ; the provision of an automated system  10  which streamlines the entire process of collating intangible property asset data  12   n  (and any associated data/information) from multiple data sources  141 , whilst eliminating arduous paperwork, multiple databases/sources  14   n , manual input errors and lengthy wait times, etc.; and/or, the provision of an automated system  10  that enables a user(s)  20   n  to simply point/hover their user operable device(s)  30   n  (with or without any accessories) at/over a selected intangible property asset  16   n  and its identifier(s)/marker(s)/image(s)  12   n  (e.g. registration numbers, ABN/ACN numbers, domain name details, trade mark details or brand name details, etc.), in order to capture/acquire necessary intangible property asset data  12   n  (and images  12   n , etc.) which is/are then cross-checked against trusted intangible property asset data  12   n  in order to verify particulars of the selected intangible property asset  16   n , including, for example, it&#39;s availability, history, ownership, authenticity, likely value, etc., which then results in the provision of AI verified and trusted information/data  12   n  about the selected intangible property asset  16   n  being returned to the user(s)  20   n  in a simplified, but detailed, format. 
     Whilst system  10  and/or method  100  may readily be provided directly to user(s)  20   n , as a stand-alone intangible property asset  16   n  verification system  10  and/or method  100  offering many services/features, such as, for example, those outlined above with reference to the preferred embodiments of the present invention, it is likely that system  10  and/or method  100  of the present invention will be (or will also be) provided as an API to a plurality of third-party service providers, such as, for example, Intellectual Property Offices, Trade Mark Attorneys, marketing professionals, etc., such that those, and any other suitable, third-party service provider(s) is/are able to offer their user(s)/customer(s)  20   n  trusted verified intangible property asset data  12   n  unlike any other system/service currently available in the local or global market. 
     While this invention has been described in connection with specific embodiments thereof, it will be understood that it is capable of further modification(s). The present invention is intended to cover any variations, uses or adaptations of the invention following in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains and as may be applied to the essential features hereinbefore set forth. 
     As the present invention may be embodied in several forms without departing from the spirit of the essential characteristics of the invention, it should be understood that the above-described embodiments are not to limit the present invention unless otherwise specified, but rather should be construed broadly within the spirit and scope of the invention as defined in the attached claims. Various modifications and equivalent arrangements are intended to be included within the spirit and scope of the invention. Therefore, the specific embodiments are to be understood to be illustrative of the many ways in which the principles of the present invention may be practiced. 
     Where the terms “comprise”, “comprises”, “comprised” or “comprising” are used in this specification, they are to be interpreted as specifying the presence of the stated features, integers, steps or components referred to, but not to preclude the presence or addition of one or more other features, integers, steps, components to be grouped therewith.