Retrieving product information from embedded sensors via mobile device video analysis

A system for accessing product information from embedded sensors via mobile device video analysis is disclosed. The system includes a processing device configured for analyzing a video stream of the surrounding environment captured on a mobile device. At least one product that has one or more embedded sensors associated therewith is identified within the surrounding environment. The system retrieves information associated with the one or more products from the one or more embedded sensors. Information retrieved, or information derived from the information retrieved, from the embedded sensors is presented to the user via a display of the video stream on the mobile device.

BACKGROUND

Modern handheld mobile devices, such as smart phones or the like, combine multiple technologies to provide the user with a vast array of capabilities. For example, many smart phones are equipped with significant processing power, sophisticated multi-tasking operating systems, and high-bandwidth Internet connection capabilities. Moreover, such devices often have additional hardware and/or software that provide features and functionality that are becoming increasingly more common and standardized. Such features and functionality include, but are not limited to, location-determining functionality, such as Global Positioning System (GPS) functionality; hardware and/or software for sensing operational conditions of the devices or even the ambient conditions in which the devices are located, such as accelerometers and high-resolution video cameras.

As the hardware capabilities of such mobile devices have increased, so too have the software applications that control and operate the hardware. One such example of innovative software is a category known as augmented reality (AR), or more generally referred to as mediated reality.

Previous application platforms analyze location data and compass direction data in combination with information related to the objects, locations or other elements shown in the video stream to create browse-able “hot-spots” or “tags” that are superimposed on the mobile device display, resulting in an experience described as “reality browsing”.

However, previous application platforms strictly utilizes GPS and compass data in order to create the “reality browsing.” They are incapable of actually identifying objects within a video stream. Furthermore, they unable to “search” for predetermined objects in order to alert a user that a desired (or undesired) object is in the proximity.

Therefore, a need exists to implement video analysis and present it to the user as AR or the like, to assist the user of mobile devices with accessing product information from embedded sensors.

SUMMARY OF INVENTION

The following presents a summary of certain embodiments of the present invention. This summary is not intended to be a comprehensive overview of all contemplated embodiments, and is not intended to identify all key or critical elements of all embodiments nor delineate the scope of any or all embodiments. Its sole purpose is to present certain concepts and elements of one or more embodiments in a summary form as a prelude to the more detailed description that follows.

Methods, apparatuses, systems and computer program products are described herein that provide for using video analysis to process video streams and, more specifically, to access product information from embedded sensors and present information associated with the product to the user, which information may be presented via AR or the like. The information presented may be information retrieved or obtained from the embedded sensors or it may be information compiled using the information retrieved or obtained from the embedded sensors. The methods, apparatuses, systems, and computer program products may additionally provide for alerting the user to important or critical information associated with one or more products. In one embodiment, the user is presented with information pertaining to, and/or alerted to, important or critical product information, such as the depletion or expiration of a product that requires replacement or will require replacement in the near future or a requirement to obtain service for the product. In one embodiment, the embedded sensors may provide information necessary or beneficial in order to present desired information to the user. In another embodiment, through the use of vision object recognition, objects, logos, artwork, products, locations and other features of a product (referred to herein as attributes) that can be recognized from the surrounding environment represented in the video stream and that can be identified and matched to stored data or data that can be accessed in real-time (collectively, “preexisting data”) in order to identify a product or information pertaining to the product or the user. In one embodiment, the preexisting data may comprise customer financial behavior history, customer credit score, customer purchase power/transaction history, wish lists, shopping lists, to do/task list, vendor information (contact information, account information, payment requirements and acceptable forms of payment, etc.), information regarding products and services (e.g., costs, availability, etc.), and/or other financial information concerning the customer. In this regard, embodiments of the present invention leverage institutional or proprietary financial data that is uniquely specific to a particular financial institution to provide information to users in connection with the video stream analysis.

To accomplish the foregoing and related objectives, the embodiments of the present invention comprise the function and features hereinafter described. The following description and the referenced figures set forth a detailed description of the present invention, including certain illustrative examples of the one or more embodiments. The functions and features described herein are indicative, however, of but a few of the various ways in which the principles of the present invention may be implemented and used and, thus, this description is intended to include all such embodiments and their equivalents.

In one embodiment of the present invention, a method is disclosed for accessing product information from embedded sensors. The method includes analyzing, via a processing device, a video stream representing the surrounding environment captured on a mobile device. The method further includes identifying one or more products within the video stream that has one or more embedded sensors associated therewith. Additionally, the method includes retrieving information associated with the one or more products from the one or more embedded sensors. Finally, the method includes presenting, via a display of the video stream on the mobile device, the information retrieved or obtained, or information derived from the information retrieved or obtained, from the one or more embedded sensors.

In one embodiment of the method, the mobile device is a mobile phone.

In one embodiment of the method, the mobile device includes a camera capable of image and/or video capture.

In one embodiment of the method, the one or more embedded sensors emit a radio frequency signal. In yet other embodiments of the method, the one or more embedded tags emit an other wave frequencies, such as infrared or X-ray.

Additionally, in one embodiment of the method, the mobile device is operated in the “always on” mode to continuously analyze the surrounding environment.

In one embodiment of the method, the information presented is displayed as a virtual object overlaying a real-time video stream of the surrounding environment. In one embodiment, the virtual object is interactive.

In still another embodiment, the method further includes alerting the user to important or critical information associated with one or more products. Alerting the user may be accomplished by producing an audible sound, vibration, generating a Short Message Service or text message, generating an email, or combinations thereof. The important or critical information may include information regarding a product default or an impending product default. In one embodiment, the product default is the depletion or expiration of the product requiring replacement. In another embodiment, the product default is a mechanical default requiring maintenance or repair services.

In one embodiment of the method, the one or more products is a food product. In another embodiment, the one or more products is a household item such as a household appliance, vehicle, monitoring systems, sensors in the handsets broadcasting the user's location for other friends to observe and/or discover.

In one embodiment, the method further includes presenting the user with an option to purchase the one or more products via the mobile device. In another embodiment, the method further includes transmitting payment information via a wireless connection between the mobile device and a contactless payment terminal to purchase a product.

In one embodiment, the method further includes transmitting financial data and/or other user-specific data to a financial institution.

In another embodiment of the present invention, a system for accessing product information from embedded sensors is disclosed. The system includes a processing device configured for analyzing a video stream representing the surrounding environment captured on a mobile device. The processing device is further configured for identifying one or more products within the video stream that has one or more embedded sensors associated therewith. Additionally, the processing device includes retrieving or obtaining information associated with the one or more products from the one or more embedded sensors. Finally, the processing device is further configured for presenting, via a display of the video stream on the mobile device, the information retrieved or obtained from the one or more embedded sensors.

In one embodiment of the system, the mobile device is a mobile phone.

In one embodiment of the system, the mobile device includes a camera capable of image and/or video capture.

In one embodiment of the system, the one or more embedded sensors emit a radio frequency signal.

Additionally, in one embodiment of the system, the mobile device is operated in the “always on” mode to continuously analyze the surrounding environment.

In one embodiment of the system, the information presented is displayed as a virtual object overlaying a real-time video stream of the surrounding environment. In some such embodiments, the virtual object is interactive.

In still another embodiment, the system further includes alerting the user to important or critical information associated with one or more products. Alerting the user may be accomplished by producing an audible sound, vibration, generating a Short Message Service or text message, generating an email, phone message, or combinations thereof. The important or critical information may include information regarding a product default or an impending product default. In one embodiment of the system, the product default is the depletion or expiration of the product requiring replacement. In another embodiment of the system, the product default is a mechanical default requiring maintenance.

In one embodiment of the system, the one or more products is a food product. In another embodiment, the one or more products is a household item such as a household appliance.

Furthermore, in one embodiment, the system further includes presenting the user with an option to purchase the one or more products via the mobile device. In still a further embodiment, the system further includes transmitting payment information via a wireless connection between the mobile device and a contactless payment terminal to purchase a product.

In another embodiment of the present invention, a computer program product for accessing product information from embedded sensors includes a non-transitory computer readable medium including one or more computer-readable code portions configured for analyzing a video stream of the surrounding environment captured on a mobile device. The one or more computer-readable code portions are further configured for identifying one or more products within the video stream that has one or more embedded sensors. Additionally, the one or more computer-readable code portions are further configured to retrieve or obtain information associated with the one or more products from the one or more embedded sensors. Finally, the one or more computer-readable code portions are further configured to present, via a display of the video stream on the mobile device, the information retrieved, or information derived from the information retrieved, from the one or more embedded sensors.

In one embodiment of the computer program product, the mobile device is a mobile phone.

In one embodiment of the computer program product, the mobile device includes a camera capable of image and/or video capture.

In one embodiment of the computer program product, the one or more embedded sensors emit a radio frequency signal or other light signal.

Additionally, in one embodiment of the computer program product, the mobile device is operated in the “always on” mode to continuously analyze the surrounding environment.

In one embodiment of the computer program product, the information presented is displayed as a virtual object overlaying a real-time video stream of the surrounding environment. In one embodiment, the virtual object is interactive.

In still another embodiment of computer program product, one or more computer-readable code portions are further configured for alerting the user to important or critical information associated with one or more products. Alerting the user may be accomplished by producing an audible sound, vibration, generating a Short Message Service or text message, generating an email, or combinations thereof. The important or critical information may include information regarding a product default or an impending product default. In one embodiment of the computer program product, the product default is the depletion or expiration of the product requiring replacement. In another embodiment of the system, the product default is a mechanical default requiring maintenance or repair services.

In one embodiment of the computer program product, the one or more products is a food product. In another embodiment, the one or more products is a household item such as a household appliance.

In one embodiment of the computer program product, the one or more computer-readable code portions if further configured to present the user with an option to purchase the one or more products via the mobile device. In still a further embodiment, the system further includes transmitting payment information via a wireless connection between the mobile device and a contactless payment terminal to purchase a product.

DETAILED DESCRIPTION OF EMBODIMENTS OF THE INVENTION

Embodiments of the present invention will now be described more fully hereinafter with reference to the accompanying drawings, in which some, but not all, embodiments of the invention are shown. Indeed, the invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will satisfy applicable legal requirements. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more embodiments. It may be evident; however, that such embodiment(s) may be practiced without these specific details. Like numbers refer to like elements throughout.

The steps and/or actions of a method or algorithm described in connection with the embodiments disclosed herein are directed to sensors associated with the product. A sensor may sense or read a product status. In this way, a sensor may be any type of sensory device, including but not limited to a tag, RFID-chip, radio signal emitter, or marker embedded in a customer product that may provide an indication as to the status of a product. The status of a product may include the amount of the product used by the customer. For example, the status of a milk jug may be an indication as to how much milk is remaining in a container of milk stored in the customer's refrigerator. In some embodiments, the terms sensor or sensors are intended to refer to a sensor working in conjunction with one or more other devices. For example, in some embodiments, one or more tags are disposed in, on or proximate a product or other object and a sensor remote from tag reads the tag.

The steps and/or actions of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in one or more software modules (also referred to herein as computer-readable code portions) executed by a processor or processing device and configured for performing certain functions, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, a hard disk, a removable disk, a CD-ROM, or any other form of non-transitory storage medium known in the art. An exemplary storage medium may be coupled to the processing device, such that the processing device can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processing device. Further, in some embodiments, the processing device and the storage medium may reside in an Application Specific Integrated Circuit (ASIC). In the alternative, the processing device and the storage medium may reside as discrete components in a computing device. Additionally, in some embodiments, the events and/or actions of a method or algorithm may reside as one or any combination or set of codes or code portions and/or instructions on a machine-readable medium and/or computer-readable medium, which may be incorporated into a computer program product.

In accordance with embodiments of the invention, the term “financial institution” refers to any organization in the business of moving, investing, or lending money, dealing in financial instruments, or providing financial services. This includes commercial banks, thrifts, federal and state savings banks, savings and loan associations, credit unions, investment companies, merchants, insurance companies and the like.

Thus, methods, systems, computer programs and the like are herein disclosed that provide for using video analysis to process video streams and, more specifically, to access product information from embedded sensors and present information associated with the product to the user, which information may be presented via AR or the like. The methods, apparatus, systems, and computer program products may additionally provide for alerting the user to important or critical information associated with one or more products. In one embodiment, the user is presented with information pertaining to, and/or alerted to, important or critical product information, such as the depletion or expiration of a product that requires replacement or will require replacement in the near future. In one embodiment, the embedded sensors may provide all of the necessary information in order to present desired information to the user. However, in another embodiment, through the use of vision object recognition, objects, logos, artwork, products, locations and other features of a product (referred to herein as attributes) that can be recognized from the surrounding environment represented in the video stream can be identified and matched to stored data or data that can be accessed in real-time (collectively, “preexisting data”). In one embodiment, the preexisting data is specific to one or more financial institutions. For example, the preexisting data may comprise customer financial behavior history, customer credit score, customer purchase power/transaction history, vendor information (contact information, account information, payment requirements and acceptable forms of payment, etc.), information regarding products and services (e.g., costs, availability, etc.), and/or other financial information concerning the customer. In this regard, embodiments of the present invention leverage institutional or proprietary financial data that is uniquely specific to a particular financial institution to provide information to users in connection with the video stream analysis.

While embodiments discussed herein are generally described with respect to “video streams” or “real-time video” it will be appreciated that the video stream may be captured and stored for later viewing and analysis. Indeed, in some embodiments video is recorded and stored on a mobile device and portions or the entirety of the video may be analyzed at a later time. The later analysis may be conducted on the mobile device or loaded onto a different device for analysis. The portions of the video that may be stored and analyzed may range from a single frame of video (e.g., a screenshot) to the entirety of the video. Additionally, rather than video, the user may opt to take a still picture of the environment to be analyzed immediately or at a later time. Thus, embodiments in which real-time video, recorded video or still pictures are analyzed are contemplated herein.

FIG. 1illustrates an embodiment of a mobile device100that may be configured to execute object recognition and Augmented Reality (AR) functionality, in accordance with specific embodiments of the present invention. A “mobile device”100may be any mobile communication device, such as a cellular telecommunications device (i.e., a cell phone or mobile phone), personal digital assistant (PDA), a mobile Internet accessing device, or other mobile device including, but not limited to portable digital assistants (PDAs), pagers, mobile televisions, gaming devices, laptop computers, cameras, video recorders, audio/video player, radio, GPS devices, any combination of the aforementioned, or the like.

The mobile device100may generally include a processor110communicably coupled to such devices as a memory120, user output devices136, user input devices140, a network interface160, a power source115, a clock or other timer150, an image capture device170, a positioning system device175(e.g., a Global Positioning System (GPS) device), one or more integrated circuits180, etc.

In some embodiments, the mobile device and/or the server access one or more databases or data stores (not shown inFIG. 1) to search for and/or retrieve information related to the object and/or marker. In some embodiments, the mobile device and/or the server access one or more data stores local to the mobile device and/or server and in other embodiments, the mobile device and/or server access data stores remote to the mobile device and/or server. In some embodiments, the mobile device and/or server access both a memory and/or data store local to the mobile device and/or server as well as a data store remote from the mobile device and/or server.

The processor110, and other processors described herein, may generally include circuitry for implementing communication and/or logic functions of the mobile device100. For example, the processor110may include a digital signal processor device, a microprocessor device, and various analog to digital converters, digital to analog converters, and/or other support circuits. Control and signal processing functions of the mobile device100may be allocated between these devices according to their respective capabilities. The processor110thus may also include the functionality to encode and interleave messages and data prior to modulation and transmission. The processor110may additionally include an internal data modem. Further, the processor110may include functionality to operate one or more software programs or applications, which may be stored in the memory120. For example, the processor110may be capable of operating a connectivity program, such as a web browser application122. The web browser application122may then allow the mobile device100to transmit and receive web content, such as, for example, location-based content and/or other web page content, according to a Wireless Application Protocol (WAP), Hypertext Transfer Protocol (HTTP), and/or the like.

The processor110may also be capable of operating applications, such as an object recognition application125. The object recognition application14may be downloaded from a server and stored in the memory120of the mobile device100. Alternatively, the object recognition application125may be pre-installed and stored in a memory in the integrated circuit180. In such an embodiment, the user may not need to download the object recognition application125from a server. In some embodiments, the processor110may also be capable of operating one or more applications, such as one or more applications functioning as an artificial intelligence (“AI”) engine. The processor110may recognize objects that it has identified in prior uses by way of the AI engine. In this way, the processor110may recognize specific objects and/or classes of objects, and store information related to the recognized objects in one or more memories and/or databases discussed herein. Once the AI engine has thereby “learned” of an object and/or class of objects, the AI engine may run concurrently with and/or collaborate with other modules or applications described herein to perform the various steps of the methods discussed. For example, in some embodiments, the AI engine recognizes an object that has been recognized before and stored by the AI engine. The AI engine may then communicate to another application or module of the mobile device and/or server, an indication that the object may be the same object previously recognized. In this regard, the AI engine may provide a baseline or starting point from which to determine the nature of the object. In other embodiments, the AI engine's recognition of an object is accepted as the final recognition of the object.

The integrated circuit180may include the necessary circuitry to provide the object recognition functionality to the mobile device100. Generally, the integrated circuit180will include data storage171which may include data associated with the objects within a video stream that the object recognition application125identifies as having a certain marker(s) (discussed in relation toFIG. 2). The integrated circuit180and/or data storage171may be an integrated circuit, a microprocessor, a system-on-a-integrated circuit, a microcontroller, or the like. As discussed above, in one embodiment, the integrated circuit180may provide the functionality to the mobile device100.

Of note, whileFIG. 1illustrates the integrated circuit180as a separate and distinct element within the mobile device100, it will be apparent to those skilled in the art that the object recognition functionality of integrated circuit180may be incorporated within other elements in the mobile device100. For instance, the functionality of the integrated circuit180may be incorporated within the mobile device memory120and/or processor110. In a particular embodiment, the functionality of the integrated circuit180is incorporated in an element within the mobile device100that provides object recognition capabilities to the mobile device100. Still further, the integrated circuit180functionality may be included in a removable storage device such as an SD card or the like.

The processor110may be configured to use the network interface160to communicate with one or more other devices on a network. In this regard, the network interface160may include an antenna176operatively coupled to a transmitter174and a receiver172(together a “transceiver”). The processor110may be configured to provide signals to and receive signals from the transmitter174and receiver172, respectively. The signals may include signaling information in accordance with the air interface standard of the applicable cellular system of the wireless telephone network that may be part of the network. In this regard, the mobile device100may be configured to operate with one or more air interface standards, communication protocols, modulation types, and access types. By way of illustration, the mobile device100may be configured to operate in accordance with any of a number of first, second, third, and/or fourth-generation communication protocols and/or the like. For example, the mobile device100may be configured to operate in accordance with second-generation (2G) wireless communication protocols IS-136 (time division multiple access (TDMA)), GSM (global system for mobile communication), and/or IS-95 (code division multiple access (CDMA)), or with third-generation (3G) wireless communication protocols, such as Universal Mobile Telecommunications System (UMTS), CDMA2000, wideband CDMA (WCDMA) and/or time division-synchronous CDMA (TD-SCDMA), with fourth-generation (4G) wireless communication protocols, and/or the like. The mobile device100may also be configured to operate in accordance with non-cellular communication mechanisms, such as via a wireless local area network (WLAN) or other communication/data networks.

The network interface160may also include an object recognition interface173in order to allow a user to execute some or all of the above-described processes with respect to the object recognition application125and/or the integrated circuit180. The object recognition interface173may have access to the hardware, e.g., the transceiver, and software previously described with respect to the network interface160. Furthermore, the object recognition interface173may have the ability to connect to and communicate with an external data storage on a separate system within the network as a means of recognizing the object(s) in the video stream.

As described above, the mobile device100may have a user interface that includes user output devices136and/or user input devices140. The user output devices136may include a display130(e.g., a liquid crystal display (LCD) or the like) and a speaker132or other audio device, which are operatively coupled to the processor110. The user input devices140, which may allow the mobile device100to receive data from a user, may include any of a number of devices allowing the mobile device100to receive data from a user, such as a keypad, keyboard, touch-screen, touchpad, microphone, mouse, joystick, other pointer device, button, soft key, and/or other input device(s).

The mobile device100may further include a power source115. Generally, the power source115is a device that supplies electrical energy to an electrical load. In one embodiment, power source115may convert a form of energy such as solar energy, chemical energy, mechanical energy, etc. to electrical energy. Generally, the power source115in a mobile device100may be a battery, such as a lithium battery, a nickel-metal hydride battery, or the like, that is used for powering various circuits, e.g., the transceiver circuit, and other devices that are used to operate the mobile device100. Alternatively, the power source115may be a power adapter that can connect a power supply from a power outlet to the mobile device100. In such embodiments, a power adapter may be classified as a power source “in” the mobile device.

The mobile device100may also include a memory120operatively coupled to the processor110. As used herein, memory may include any computer readable medium configured to store data, code, or other information. The memory120may include volatile memory, such as volatile Random Access Memory (RAM) including a cache area for the temporary storage of data. The memory120may also include non-volatile memory, which can be embedded and/or may be removable. The non-volatile memory may additionally or alternatively include an electrically erasable programmable read-only memory (EEPROM), flash memory or the like.

The memory120may store any of a number of applications or programs which comprise computer-executable instructions/code executed by the processor110to implement the functions of the mobile device100described herein. For example, the memory120may include such applications as an object recognition application125, an augmented reality (AR) presentation application121(described infra. in relation toFIG. 3), a web browser application122, a Short Message Service (SMS) application123, an electronic mail (i.e., email) application124, etc.

Referring toFIG. 2, a block diagram illustrating an object recognition experience200in which a user210utilizes a mobile device100to capture a video stream that includes an environment250is shown. As denoted earlier, the mobile device100may be any mobile communication device. The mobile device100has the capability of capturing a video stream of the surrounding environment250. The video capture may be by any means known in the art. In one particular embodiment, the mobile device100is a mobile telephone equipped with an image capture device170capable of video capture.

The environment250contains a number of objects220. Some of such objects220may include a marker230identifiable to an object recognition application that is either executed on the mobile device100or within the wireless network. A marker230may be any type of marker that is a distinguishing feature that can be interpreted by the object recognition application to identify specific objects220. For instance, a marker230may be alpha-numeric characters, symbols, logos, shapes, ratio of size of one feature to another feature, a product identifying code such as a bar code, electromagnetic radiation such as radio waves (e.g., radio frequency identification (RFID)), architectural features, color, etc. In some embodiments, the marker230may be audio and the mobile device100may be capable of utilizing audio recognition to identify words or unique sounds broadcast. The marker230may be any size, shape, etc. Indeed, in some embodiments, the marker230may be very small relative to the object220such as the alpha-numeric characters that identify the name or model of an object220, whereas, in other embodiments, the marker230is the entire object220such as the unique shape, size, structure, etc.

In some embodiments, the marker230is not actually a physical marker located on or being broadcast by the object. For instance, the marker230may be some type of identifiable feature that is an indication that the object220is nearby (e.g., a tag or placard near the object). In some embodiments, the marker230for an object220may actually be the marker230for a different object220. For example, the mobile device100may recognize a particular building as being “Building A.” Data stored in the object recognition data storage may indicate that “Building B” is located directly to the east and next to “Building A.” Thus, markers230for an object220that are not located on or being broadcast by the object220are generally based on fixed facts about the object220(e.g., “Building B” is next to “Building A”). However, it is not a requirement that such a marker230be such a fixed fact. The marker230may be anything that enables the mobile device100to interpret to a desired confidence level what the object is. For another example, the mobile device100may identify a particular person as a first character from a popular show, and thereafter utilize the information that the first character is nearby features of other characters to interpret that a second character, a third character, etc. are nearby, whereas without the identification of the first character, the features of the second and third characters may not have been used to identify the second and third characters. This example may also be applied to objects outside of people.

The marker230may also be or include social network data, such as data retrieved or communicated from the Internet, such as tweets, blog posts, various types of messages and/or the like. In other embodiments, the marker230is provided in addition to social network data as mentioned above. For example, the mobile device100may capture a video stream and/or one or more still shots including a large gathering of people. In this example, as above, one or more people dressed as characters in costumes may be present at a specified location. The mobile device100, object recognition application121, and/or the AR presentation application125may identify several social network indicators, such as posts, blogs, tweets, messages, and/or the like indicating the presence of one or more of the characters at the specified location. In this way, the mobile device100and associated applications may communicate information regarding the social media communications to the user and/or use the information regarding the social media communications in conjunction with other methods of object recognition. For example, the mobile device100object recognition application121, and/or the AR presentation application125performing recognition of the characters at the specified location may confirm that the characters being identified are in fact the correct characters based on the retrieved social media communications. This example may also be applied objects outside of people.

In some embodiments, the mobile device100and/or server access one or more other servers, social media networks, applications and/or the like in order to retrieve and/or search for information useful in performing an object recognition. In some embodiments, the mobile device100and/or server accesses another application by way of an application programming interface or API. In this regard, the mobile device100and/or server may quickly search and/or retrieve information from the other program without requiring additional authentication steps or other gateway steps.

WhileFIG. 2illustrates that the objects220with markers230only include a single marker230, it will be appreciated that the object220may have any number of markers230with each equally capable of identifying the object220. Similarly, multiple markers66may be identified by the mobile device100and associated applications such that the combination of the markers230may be utilized to identify the object220. For example, the mobile device100may utilize facial recognition markers230to identify a person and/or utilize a separate marker230, such as the clothes the person is wearing to confirm the identification to the desired confidence level that the person is in fact the person the mobile device identified. For example, the facial recognition may identify a person as a famous athlete, and thereafter utilize the uniform the person is wearing to confirm that it is in fact the famous athlete.

In some embodiments, a marker230may be the location of the object220. In such embodiments, the mobile device100may utilize Global Positioning System (GPS) hardware and/or software or some other location determining mechanism to determine the location of the user210and/or object220. As noted above, a location-based marker230could be utilized in conjunction with other non-location-based markers230identifiable and recognized by the mobile device100to identify the object220. However, in some embodiments, a location-based marker may be the only marker230. For instance, in such embodiments, the mobile device100may utilize GPS software to determine the location of the user210and a compass device or software to determine what direction the mobile device100is facing in order to identify the object220. In still further embodiments, the mobile device100does not utilize any GPS data in the identification. In such embodiments, markers230utilized to identify the object220are not location-based.

FIG. 3illustrates a mobile device100, specifically the display130of the mobile device100, wherein the device100has executed an object recognition application125and an AR presentation application121to present within the display130indications of recognized objects within the live video stream (i.e., surrounding environment250). The mobile device100is configured to rely on markers230to identify objects220that are associated with product offers, products with extended warranties, new products and the like, and indicate to the user210the identified objects220by displaying an indicator300on the mobile device display130in conjunction with display of the live video stream. As illustrated, if an object220does not have any markers230(or at least enough markers230to yield object identification), the object220will be displayed without an associated indicator300.

The object recognition application125may use any type of means in order to identify desired objects220. For instance, the object recognition application125may utilize one or more pattern recognition algorithms to analyze objects in the environment250and compare with markers230in data storage171which may be contained within the mobile device100(such as within integrated circuit180) or externally on a separate system accessible via the connected network. For example, the pattern recognition algorithms may include decision trees, logistic regression, Bayes classifiers, support vector machines, kernel estimation, perceptrons, clustering algorithms, regression algorithms, categorical sequence labeling algorithms, real-valued sequence labeling algorithms, parsing algorithms, general algorithms for predicting arbitrarily-structured labels such as Bayesian networks and Markov random fields, ensemble learning algorithms such as bootstrap aggregating, boosting, ensemble averaging, combinations thereof, and the like.

Upon identifying an object220within the real-time video stream, the AR presentation application121is configured to superimpose an indicator300on the mobile device display130. The indicator300is generally a graphical representation that highlights or outlines the object220and may be activatable (i.e., include an embedded link), such that the user210may “select” the indicator300and retrieve information related to the identified object. The information may include any desired information associated with the selected object and may range from basic information to greatly detailed information. In some embodiments, the indicator300may provide the user210with an internet hyperlink to further information on the object220. The information may include, for example, all types of media, such as text, images, clipart, video clips, movies, or any other type of information desired. In yet other embodiments, the indicator300information related to the identified object may be visualized by the user210without “selecting” the indicator300.

In embodiments in which the indicator300provides an interactive tab to the user210, the user210may select the indicator300by any conventional means, e.g., keystroke, touch, voice command or the like, for interaction with the mobile device100. For instance, in some embodiments, the user210may utilize an input device140such as a keyboard to highlight and select the indicator300in order to retrieve the information. In a particular embodiment, the mobile device display130includes a touch screen that the user may employ to select the indicator300utilizing the user's finger, a stylus, or the like.

In some embodiments, the indicator300is not interactive and simply provides information to the user210by superimposing the indicator300onto the display130. For example, in some instances it may be beneficial for the AR presentation application121to merely identify an object220, e.g., just identify the object's name/title, give brief information about the object, etc., rather than provide extensive detail that requires interaction with the indicator300. The AR presentation application121is capable of being tailored to a user's desired preferences.

Furthermore, the indicator300may be displayed at any size on the mobile device display130. The indicator300may be small enough that it is positioned on or next to the object220being identified such that the object220remains discernible behind the indicator300. Additionally, the indicator300may be semi-transparent or an outline of the object220, such that the object220remains discernible behind or enclosed by the indicator300. In other embodiments, the indicator300may be large enough to completely cover the object220portrayed on the display130. Indeed, in some embodiments, the indicator300may cover a majority or the entirety of the mobile device display130.

The user210may opt to execute the object recognition application125and AR presentation application121at any desired moment and begin video capture and analysis. However, in some embodiments, the object recognition application125and AR presentation application121includes an “always on” feature in which the mobile device100is continuously capturing video and analyzing the objects220within the video stream. In such embodiments, the object recognition application125may be configured to alert the user210that a particular object220has been identified. The user210may set any number of user preferences to tailor the object recognition and AR presentation experience to their needs. For instance, the user210may opt to only be alerted if a certain particular object220is identified. Additionally, it will be appreciated that the “always on” feature in which video is continuously captured may consume the mobile device power source115more quickly. Thus, in some embodiments, the “always on” feature may disengage if a determined event occurs such as low power source115, low levels of light for an extended period of time (e.g., such as if the mobile device100is in a user's pocket obstructing a clear view of the environment250from the mobile device100), if the mobile device100remains stationary (thus receiving the same video stream) for an extended period of time, the user sets a certain time of day to disengage, etc. Conversely, if the “always on” feature is disengaged due to the occurrence of such an event, the user210may opt for the “always on” feature to re-engage after the duration of the disengaging event (e.g., power source115is re-charged, light levels are increased, etc.).

In some embodiments, the user210may identify objects220that the object recognition application125does not identify and add it to the data storage171with desired information in order to be identified and/or displayed in the future. For instance, the user210may select an unidentified object220and enter a name/title and/or any other desired information for the unidentified object220. In such embodiments, the object recognition application125may detect/record certain markers230about the object so that the pattern recognition algorithm(s) (or other identification means) may detect the object220in the future. Furthermore, in cases where the object information is within the data storage171, but the object recognition application125fails to identify the object220(e.g., one or more identifying characteristics or markers230of the object has changed since it was added to the data storage171or the marker230simply was not identified), the user210may select the object220and associate it with an object220already stored in the data storage171. In such cases, the object recognition application125may be capable of updating the markers230for the object220in order to identify the object220in future video streams.

In addition, in some embodiments, the user210may opt to edit the information or add to the information provided by the indicator300. For instance, the user210may opt to include user-specific information about a certain object220such that the information may be displayed upon a future identification of the object220. Conversely, in some embodiments, the user may opt to delete or hide an object220from being identified and an indicator300associated therewith being displayed on the mobile device display130.

Furthermore, in some instances, an object220may include one or more markers230identified by the object recognition application125that leads the object recognition application125to associate an object220with more than one objects220in the data storage171. In such instances, the user210may be presented with multiple candidate identifications and may opt to choose the appropriate identification or input a different identification. The multiple candidates may be presented to the user210by any means. For instance, in one embodiment, the candidates are presented to the user210as a list wherein the “strongest” candidate is listed first based on reliability of the identification. Upon input by the user210identifying the object220, the object recognition application125may “learn” from the input and store additional markers230in order to avoid multiple identification candidates for the same object220in future identifications.

Additionally, the object recognition application125may utilize other metrics for identification than identification algorithms. For instance, the object recognition application125may utilize the user's location, time of day, season, weather, speed of location changes (e.g., walking versus traveling), “busyness” (e.g., how many objects are in motion versus stationary in the video stream), as well any number of other conceivable factors in determining the identification of objects220. Moreover, the user210may input preferences or other metrics for which the object recognition application125may utilize to narrow results of identified objects220.

In some embodiments, the AR presentation application121may have the ability to gather and report user interactions with displayed indicators300. The data elements gathered and reported may include, but are not limited to, number of offer impressions; time spent “viewing” an offer, product, object or business; number of offers investigated via a selection; number of offers loaded to an electronic wallet and the like. Such user interactions may be reported to any type of entity desired. In one particular embodiment, the user interactions may be reported to a financial institution and the information reported may include customer financial behavior, purchase power/transaction history, and the like.

In various embodiments, information associated with or related to one or more objects220that is retrieved for presentation to a user210via the mobile device100may be permanently or semi-permanently associated with the object220. In other words, the object220may be “tagged” with the information. In some embodiments, a location pointer is associated with an object220after information is retrieved regarding the object220. In this regard, subsequent mobile devices capturing the object220for recognition may retrieve the associated information, tags and/or pointers in order to more quickly retrieve information regarding the object220. In some embodiments, the mobile device100provides the user210an opportunity to post messages, links to information or the like and associate such postings with the object220. Subsequent users may then be presenting such postings when their mobile devices capture and recognize an object220. In some embodiments, the information gathered through the recognition and information retrieval process may be posted by the user210in association with the object220. Such tags and/or postings may be stored in a predetermined memory and/or database for ease of searching and retrieval.

In an exemplary embodiment, the AR presentation application121is capable of analyzing the surrounding environment250in search of products with embedded sensorsFIG. 4illustrates a high-level flow diagram of a method400for analyzing the surrounding environment250in search of products with embedded sensors according to an embodiment of the invention.

At block410, a video stream of the surrounding environment250is analyzed in search of at least one product with an embedded sensor. As used herein, an “embedded sensor” is a device associated with a product in such a way that the sensors may monitor, obtain, collect, emit, and/or indicate information about the product. In one embodiment, the embedded sensors may include, at least in part, an RFID tag, a chip, a radio signal emitter, an invisible marker, etc. In another embodiment, an embedded tag includes a nanosensor. For example, the nanosensors or microsensors may be configured to measure acceleration, conductivity, electromagnetic field, friction, light, movement, quantity, radiation, sound, stress, temperature, time, vibration, viscosity, weight, or some other measurable physical quantity or characteristic. The sensors may be capable of wireless transmission of such information, either continuously or intermittently. In one embodiment, the sensors may automatically transmit the information, whereas in another embodiment, the sensors may transmit the information in response to being interrogated. The information transmitted from an embedded sensor may include, for instance, “defaults” with the product. As used herein, a “default” may be anything concerning the product that may lead to its replacement or maintenance. For instance, a default may include a food product that has reached its expiration date (i.e., replacement needed) or a shortage in the circuitry of an electronic-based product (i.e., maintenance or repair services needed).

The mobile device100may be capable of detecting or sensing embedded sensors within products. The detection may utilize any marker230as described above in the identification of the product. However, in one embodiment, the only marker230required for product identification is the embedded sensors. In such embodiments, generally, the embedded sensor emits a wireless signal which is detectable to the AR presentation application121of the mobile device100.

Block420illustrates the step of identifying one or more products within the video stream that has one or more embedded sensors associated therewith. As the video stream is analyzed (block410), the AR presentation application121may detect an embedded sensors emitting a wireless signal (e.g., an RF signal).

At block430, the mobile device100retrieves the information associated with the products from the embedded sensors. In one embodiment, the AR presentation application121is capable of receiving information from multiple embedded sensors at once. For example, a user210may utilize the AR presentation application121to scan the pantry or refrigerator, for instance, and receive information from a plurality of products at once. As noted above, the information may include data concerning the products such that the user210may determine what action needs to be taken (e.g., product replacement).

At block440, the AR presentation application121may present information to the user via the mobile device display of the video stream. For instance, a indicator300may be superimposed onto the video stream on the display130of the mobile device100. The indicator300may be interactive. In one embodiment, the indicator300may include the information transmitted from the embedded sensors explicitly (e.g., amount of product remaining, expiration date, etc.). However, in one embodiment, the AR presentation application121may present information to the user210that is derived from the information received from the embedded sensors. For example, a user210that utilizes the AR presentation application121to analyze the products within a refrigerator may opt to have a shopping list automatically generated based on preset preferences that determine when certain products need to be replaced.

In one embodiment, the mobile device100is operated in the “always on” mode to continuously analyze the surrounding environment250to detect product embedded sensors. Thus, in one embodiment, the user210actively utilizes the mobile device100in search of products with embedded sensors by viewing the mobile device display130as the user210pans around scanning for products. However, in another embodiment, the user210passively utilizes the mobile device100in search of predetermined objects. In such embodiments, the mobile device100may simply be affixed to or otherwise carried by the user210and the mobile device100simply scans the images captured in search of products with embedded sensors.

The mobile device100may alert the user210to important or critical information associated with one or more products. As used herein, “important” or “critical” information may be defined by the user210, but will generally include information concerning product defaults or impending product defaults. The user210may opt to input preferences as to when to be alerted of an impending product default such as the quantity of product is approaching a predetermined threshold or the expiration date of a product is approaching. Similarly, as noted above, a product default may include something that is irregular with the product such as a power source malfunction, a drop in efficiency, hardware/software malfunctions, etc. The “alert” to the user210may be one or more indicators that appear on the mobile device display130. However, when the AR presentation application121is operated in a passive mode (i.e., the user210is not attentive to and watching the video stream being analyzed), it is generally preferable that the alerts be of audible signals, vibration of the mobile device100, Short Message Service/text messages, emails or the like which may identify the object, provide access to an offer or direct the user to the video stream (real-time or recorded) for access to the displayed indicators300.

The “product” detectable to the AR presentation application121will generally include any product that utilizes an embedded sensors capable of emitting a wireless signal. In one embodiment, the product is a food product. In another embodiment, the product is a household item such as a household appliance. In still further embodiments, the product may be an automobile, an electronic device, a non-food consumer product, etc.

In a particular embodiment, the indicator300displayed to the user210is interactive and may present the user210with information regarding purchasing the product. For instance, the information may include cost of replacement, estimated time to failure, nearest retailer stocking the product, estimated delivery time, etc. Additionally, the user210may be presented with the option to purchase the product. For instance, the indicator300displayed on the mobile device100may include a link, such as, for example, an internet hyperlink, that gives the user210the option to purchase the product.

FIG. 5illustrates a high-level mixed block and flow diagram of a system500for accessing product information from embedded sensors via a video stream captured by a mobile device100. It will be understood that the system500illustrated is an exemplary embodiment. As shown, the system500includes a user210, a mobile device100, and a financial institution.

As represented by block505, the user210activates the AR presentation application121of the mobile device100. The AR presentation application121may be operated in active mode or passive mode as discussed above. Once the mobile device100loads the AR presentation application121, the mobile device100initiates scanning of the environment250to search for the products with embedded sensors, as represented by block515.

At block520, the mobile device100then may identify a product within the surrounding environment250. Upon identifying a product, the mobile device100alerts the user210that the product has been identified as shown in block525. The alert may be any way to bring the identification to the user's attention. In a particular embodiment, the mobile device display130may include an indicator and the mobile device100may emit an audible sound and/or vibration or other type of alert as discussed above.

In some embodiments, the information provided by the real-time video stream may be compared to data provided to the system through an API. In this way, the data may be stored in a separate application and be implemented by request from the mobile device and/or server.

At block530, the mobile device100may present information associated with the product to the user210, and as illustrated at block535, the user210may receive the information associated with the object. The information displayed to the user may range from a simple identification of the object to a large amount of data associated with the object, depending, at least in part, on the sophistication of the embedded sensors.

In a particular embodiment, the information displayed to the user210may include product purchasing information. In such embodiments, the user may opt to purchase the product as shown in block540. The user210may opt to utilize any feasible means in purchasing the product. In some embodiments, the business that sells the product may be capable of accepting online orders for the identified object via the Internet, an intranet or other wireless connection utilizing the mobile device100. In a particular embodiment, the mobile device100includes a mobile wallet800(FIG. 8) and the business is capable of receiving payment vehicle data from the user's mobile device100via a contactless payment terminal700(FIGS. 6 and 7) as discussed further below. Thus, as illustrated at block545, the mobile device100may transmit payment data for purchase of the product.

As represented by block550, a financial institution may monitor and record financial data and/or video image analysis user data associated with the object identification. For instance, the data the financial institution may record includes the amount of time the user reviewed the presented information, whether the user210was presented with an option to purchase, whether the user210purchased the product, the price of the product, the frequency in which the user utilizes the AR presentation application121to identify and purchase objects, etc. Such information may be beneficial to the financial institution in determining future business strategies.

The mobile device100may be equipped to provide the user210the ability to transmit payment information directly from the mobile device100to a payment terminal in order to complete a purchase. Referring toFIG. 6, a block diagram illustrating a contactless transaction environment500configured for making a contactless transaction via a mobile device100is shown. As illustrated, the contactless transaction environment600may include a mobile device100operable by a user210who may be a customer who wishes to make a contactless payment for the identified product. The contactless transaction environment600may also include a contactless terminal700that may be automated or may be operable by a cashier610. The contactless terminal700may permit a user210to make a contactless payment with the mobile device100.

Of course, the environment600may also include a contact terminal620that may permit a user210to make a payment via a contact transaction device such as a payment card that has a magnetic stripe which may be swiped through the contact terminal620.

The contactless transaction environment600may also include a workstation640and a processing system650that are in electronic communication with the contactless terminal700via a network630, which may be the Internet, an intranet or the like. The user interface615situated on the contactless terminal700may be any sort of device, such as light emitting diodes (LEDs) for indicating that payment has been received, invalid payment vehicle, exceeded credit limit, etc.

InFIG. 6, the network630may include a local area network (LAN), a wide area network (WAN), and/or a global area network (GAN). The network630may provide for wireline, wireless, or a combination of wireline and wireless communication between devices in the network. In some embodiments, the network630includes the Internet. In some embodiments, the network630may include a wireless telephone network.

FIG. 7illustrates an embodiment of a contactless terminal700that is depicted inFIG. 6. The contactless terminal700may include various features, such as a network communication interface710, a processing device730, a transceiver interface720, and a memory device740that may include a transceiver application750.

As used with respect to the contactless terminal700, a “communication interface” may generally include a modem, server, transceiver, and/or other device for communicating with other devices on a network. The network communication interface710may be a communication interface having one or more communication devices configured to communicate with one or more other devices in the contactless transaction environment600, such as the mobile device100, the workstation640, the processing system650, other processing systems, data systems, etc.

In one embodiment, the transceiver interface720is a separate module that may generally include a transceiver, i.e., one or more antennas and/or other electronic circuitry, devices, and software, for receiving electronic payment vehicle data when the mobile device100is held close to or “tapped” at the contactless terminal700. In accordance with embodiments of the invention, the term “tap,” “tapped,” “tapping,” etc. may refer to bringing a mobile device close to or within the proximity of a payment terminal so that information can be communicated wirelessly between the mobile device and the payment terminal using short range wireless transmission technology, such near-field communication (NFC) technology, radio-frequency (RF) technology, or the like. Tapping may include physically tapping the mobile device against an appropriate portion of the payment terminal or it may include only waving or holding the mobile device near an appropriate portion of the payment terminal without making physical contact with the payment terminal. In some embodiments, the transceiver interface720is part of the network communication interface710. Furthermore, the transceiver interface720may also be used as an interface to send data to the mobile device100when the mobile device100is held close to or tapped at the contactless terminal700.

An output device for the transceiver interface720may include a display that provides instructions regarding the steps for making a contactless transaction. In some embodiments where the contactless terminal700requests authentication, such as a signature, the display may also serve as a touchpad input device to input the user's signature via a stylus. Other output devices may include one or more LEDs or an audio speaker, both which may indicate to the user210that data has been successfully received from the mobile device100. A printer that can print paper receipts may also be incorporated into the contactless terminal700. Other embodiments of the contactless terminal700may carry other input and output devices, such as a mouse, keyboard, button, touchpad, touch screen, microphone, speaker, light, joystick, switch, or the like.

As used with respect to the contactless terminal700, a “processing device,”730may generally refer to a device or combination of devices having circuitry used for implementing the communication and/or logic functions of a particular system. For example, a processing device730may include a digital signal processor device, a microprocessor device, and various analog-to-digital converters, digital-to-analog converters, and other support circuits and/or combinations of the foregoing. Control and signal processing functions of the system may be allocated between these processing devices according to their respective capabilities. The processing device may further include functionality to operate one or more software programs based on computer-executable program code thereof, which may be stored in a memory. As the phrase is used herein, a processing device may be “configured to” perform a certain function in a variety of ways, including, for example, by having one or more general-purpose circuits perform the function by executing particular computer-executable program code embodied in computer-readable medium, and/or by having one or more application-specific circuits perform the function. The processing device730may be configured to use the network communication interface710and/or the transceiver interface720to transmit and/or receive data and/or commands to and/or from the other devices that are visible in the contactless payment environment600.

As used with respect to the contactless terminal700, a “memory device” may generally refer to a device or combination of devices that store one or more forms of computer-readable media for storing data and/or computer-executable program code/instructions. For example, in one embodiment, the memory device may include any computer memory that provides an actual or virtual space to temporarily or permanently store data and/or commands provided to the processing device when it carries out its functions described herein. In one embodiment, the memory device stores a transceiver application750. The transceiver application750may work in conjunction with the previously described transceiver interface720to receive electronic payment vehicle data when the mobile device100is held close to or tapped at the contactless terminal700. In some embodiments, the transceiver application750may also be configured to send data to the mobile device100when the mobile device100is held close to or tapped at the payment terminal700, or potentially provide a power source115to the mobile device100in the event the primary power source is depleted.

As illustrated inFIG. 6, a contactless terminal200may be connected to a workstation640via the network630. The workstation640may be used by the cashier610or other personnel to interact with the contactless terminal700. The workstation640may include various features, such as a network communication interface, a processing device, a user interface, and a memory device.

As used with respect to the workstation640, a “communication interface” may generally include a modem, server, transceiver, and/or other device for communicating with other devices on a network. The network communication interface may be a communication interface having one or more communication devices configured to communicate with one or more other devices on the network630, such as the contactless terminal700and/or contact terminal620, the processing system650, other processing systems, data systems, etc.

As used with respect to the workstation130, a “processing device” may generally refer to a device or combination of devices having circuitry used for implementing the communication and/or logic functions of a particular system as described above. For example, a processing device may include a digital signal processor device, a microprocessor device, and various analog-to-digital converters, digital-to-analog converters, and other support circuits and/or combinations of the foregoing. Control and signal processing functions of the system may be allocated between these processing devices according to their respective capabilities. The processing device may further include functionality to operate one or more software programs based on computer-executable program code thereof, which may be stored in a memory. As the phrase is used herein, a processing device may be “configured to” perform a certain function in a variety of ways, including, for example, by having one or more general-purpose circuits perform the function by executing particular computer-executable program code embodied in computer-readable medium, and/or by having one or more application-specific circuits perform the function. The processing device may be configured to use a network communication interface and/or the transceiver interface to transmit and/or receive data and/or commands to and/or from the other devices that are visible in the network630.

As used with respect to the workstation640, a “user interface” may generally include a plurality of interface devices and/or software that allow a user to input commands and data to direct the processing device to execute instructions. For example, the user interface may include a graphical user interface (GUI) or an interface to input computer-executable instructions that direct the processing device to carry out specific functions. The user interface may employ certain input and output devices to input data received from the user210or the cashier610or output data to the user or the cashier610. These input and output devices may include a display, mouse, keyboard, button, touchpad, touch screen, microphone, speaker, light, joystick, switch, and/or other customer input/output device for communicating with one or more customers. As used with respect to the workstation640, a “memory device” may generally refer to a device or combination of devices that store one or more forms of computer-readable media for storing data and/or computer-executable program code/instructions. For example, in one embodiment, the memory device may include any computer memory that provides an actual or virtual space to temporarily or permanently store data and/or commands provided to the processing device when it carries out its functions described herein.

As indicated above, in some embodiments, the user210may opt to utilize the mobile device100to wirelessly transmit payment vehicle data to a contactless terminal700. Typically, the payment vehicle data is stored within the mobile device100or accessible externally through the network. This payment vehicle data is typically contained within a mobile wallet. In accordance with embodiments of the invention, the phrase “mobile wallet” refers to the hardware and/or software in a mobile device that enables the mobile device to be used to make contactless payments at a payment terminal. In accordance with embodiments of the invention, the term “payment vehicle” may refer to an electronic payment vehicle, such as an electronic credit or debit card. The payment vehicle may not be a “card” at all and may instead be account identifying information stored electronically in a mobile device, such as in a cell phone.

Turning toFIG. 8, one embodiment of a mobile wallet800is illustrated. Importantly, the mobile wallet800of the present invention is not limited to the embodiments shown in the figures. Indeed, the manner in which the “menu” of payment vehicles810is presented to the user or the type of additional information stored within the mobile wallet800is not essential to the present invention.

As illustrated, information contained within the mobile wallet800and capable of being transmitted by the mobile device100may include the payment vehicle type810, the unique payment vehicle account number820associated with the payment vehicle810, the name associated with the payment vehicle830, the payment vehicle's expiration date840, the payment vehicle's security code850, whether the payment vehicle is credit or debit860and the default payment vehicle870for use in transactions.

Thus, methods, systems, computer programs and the like are herein disclosed that provide for using video analysis to process video streams and, more specifically, to access product information from embedded sensors and present information associated with the product to the user, which information may be presented via AR or the like. The methods, apparatuses, systems, and computer program products may additionally provide for alerting the user to important or critical information associated with one or more products. Many of the embodiments herein disclosed leverage financial institution data, which is uniquely specific to financial institution, in providing information to mobile device users in connection with video stream analysis.

While the foregoing disclosure discusses illustrative embodiments, it should be noted that various changes and modifications could be made herein without departing from the scope of the described aspects and/or embodiments as defined by the appended claims. Furthermore, although elements of the described aspects and/or embodiments may be described or claimed in the singular, the plural is contemplated unless limitation to the singular is explicitly stated. Additionally, all or a portion of any embodiment may be utilized with all or a portion of any other embodiment, unless stated otherwise. In this regard, the term “processor” and “processing device” are terms that are intended to be used interchangeably herein and features and functionality assigned to a processor or processing device of one embodiment are intended to be applicable to or utilized with all or a portion of any other embodiment, unless stated otherwise.

The systems, methods, computer program products, etc. described herein, may be utilized or combined with any other suitable AR-related application. Non-limiting examples of other suitable AR-related applications include those described in the following U.S. Provisional Patent Applications, the entirety of each of which is incorporated herein by reference: