Patent Description:
The present invention generally relates to merchandising solutions, and more specifically relates to an intelligent marketing and advertising platform which employs digital "smart" screens on retail product containers thereby providing an innovative advertising solution.

Although more and more people are purchasing items online, brick and mortar retail sales are still substantial and are, in fact, growing in certain market segments such as grocery, drug and convenience stores. Over <NUM> percent of shopping in brick and mortar stores is impulse purchasing. Research shows that impulse decisions are highly influenced by in-store messaging, and that most of that in-store impulse shopping occurs at retail product containers, such as coolers and freezers.

If impulse shopping behavior can be disrupted by what is displayed on a retail product container, such as cooler or freezer doors, this would present an enormous value creation opportunity for both consumer packaged goods brands and retailers. Arguably, coolers are the most overlooked, least promoted, least technology sophisticated and one of the most operationally challenged sections of a retail store.

Conventional retail product containers such as coolers, freezers, vending machines, etc. have a glass panel or door through which a customer views products stored in the retail product container and which are available for purchase. Problems with this approach include the fact that oftentimes products stored therein are not neatly presented, products are blocked by other products such that a customer cannot easily see what products are available for purchase, etc. Still further, store employees are required to maintain the appearance of the products stored therein, keep track of stock, install and swap out promotional tags and other displays (such as displays relating to pricing and promotions) in order to keep those items current.

It is a well-understood problem that coolers and refrigerators in grocery stores are one area that is difficult for brands to conduct effective "on-the-spot" advertisements and promotions. Typically, brands rely on other advertising medias (e.g. print, billboards, online and TV advertisements, etc.) to promote products that are retailed on the shelves of coolers/freezers and/or refrigerators at retail and convenience stores. It is also widely acknowledged that current advertising efforts are not effective and impactful. Recognizing these inefficiencies several display manufacturers explored opportunities to convert the "see-thru" glass windows on the cooler doors into transparent displays that can enable running ads while the shoppers still see the products and continue their usual shopping experience. Transparent display technology that was being developed started to be targeted for these applications and were eventually integrated into cooler doors by several manufacturers. These systems allowed the conversion of these "passive" doors into an advertising platform while minimally disrupting a typical consumer shopping experience. The consumer could still see through and select the items they plan to pick; while the store owners or media platform owners can run promotional videos and advertisements on transparent display media. However, over the last few years it was evident that the market penetration of such systems has been very slow. There are a number of factors that have worked to limit adoption, such as:.

Brands always seek media platforms that enable them to reach the critical mass of their target customer. For digital signage media platforms, this translates to a need for a very significant installed base.

<CIT> describes a vending-machine that has one or more displays that inform the customer regarding available vendable selections and that facilitate the purchase of a selected item. <CIT> describes a refrigerator capable of discriminating the food in a storage chamber and displaying it externally. <CIT> describes a method for controlling access to products from a vending machine. <CIT> describes a system and method that include a remote server and a vending machine. <CIT> describes a product providing apparatus and display apparatus, and a method for providing a GUI using the same.

The present invention is defined in and by the appended claims. An object of an embodiment of the present invention is to provide an intelligent marketing and advertising platform.

Briefly, an embodiment of the present invention provides an intelligent marketing and advertising platform which comprises a plurality of retail product containers (such as coolers, freezers and/or vending machines). Each retail product container has internal storage volume, and each comprises at least one non-transparent display which prohibits viewing of the internal storage volume of the retail product container. Each retail product container further comprises customer-detecting hardware and inventory-taking hardware.

The platform also comprises a controller/data collector which is in communication with the retail product containers. The controller/data collector is configured to control the at least one non-transparent display of each retail product container such that each non-transparent display provides a planogram relating to retail products physically contained in the internal storage volume of the retail product container based on inventory taken by the controller/data collector using the inventory-taking hardware of the retail product container.

The controller/data collector is configured to control the at least one non-transparent display of each retail product container to display current pricing information regarding products physically contained in the internal storage volume of the retail container, wherein the pricing is dictated by the controller/data collector.

The controller/data collector is configured to detect customers using the customer-detecting hardware, and is configured to display promotions on the at least one non-transparent display of each retail product container based on what is detected by the controller/data collector using the customer-detecting hardware.

The controller/data collector uses the inventory-taking hardware to capture a plurality of images of the internal storage volume when a door of the retail product container rotates, and is configured to change a frequency of capture of the plurality of images based on a rotational speed of the door detected by at least one accelerometer on the door.

The intelligent marketing and advertising platform provides an innovative merchandising solution for retailers by effectively transforming the glass surface of retail product containers (such as cooler doors) into a non-transparent display of planograms. The merchandising solution disclosed herein provides for digital planograms and pricing management, real time promotional updates and sales data, etc. The advertising method innovation for in-store retail signage disclosed herein is effectively accomplished by converting/transforming the simple glass surface of a retail product container (such as cooler/freezer doors) into digital "smart" screens that provide for innovative advertising solutions.

The organization and manner of the structure and operation of the invention, together with further objects and advantages thereof, may best be understood by reference to the following description taken in connection with the accompanying drawings wherein like reference numerals identify like elements in which:.

While this invention may be susceptible to embodiment in different forms, there is shown in the drawings and will be described herein in detail, a specific embodiment with the understanding that the present disclosure is to be considered an exemplification of the principles of the invention, and is not intended to limit the invention to that as illustrated.

<FIG> illustrates an intelligent marketing and advertising platform <NUM> which in accordance with an embodiment of the present invention. As shown, the intelligent marketing and advertising platform <NUM> provides that a controller/data collector <NUM> is networked with a plurality of retail product containers <NUM>.

The retail product containers <NUM> need not be the same, but preferably each is a device such as a cooler, freezer and/or vending machine. Regardless, preferably each has internal storage volume in which products for purchase can be stored.

A shown in <FIG>, each retail product container <NUM> comprises at least one display <NUM>, such as a display on a door of the retail product container <NUM>. The display <NUM> comprises a non-transparent display which prohibits customers from viewing, through the display, products which are being stored in the internal storage volume. The display <NUM> can comprise, for example, a touchscreen LCD with which customers can interact.

Each retail product container <NUM> further comprises customer- detecting hardware <NUM>, such as one or more proximity sensors (such as heat maps), cameras, facial sensors or scanners, and eye-sensors (i.e., iris-tracking sensors).

Assuming cameras are employed, preferably cameras are mounted on doors of the retail product containers <NUM>. Preferably, the cameras have a depth of field of view of twenty feet or more, and have a range of field of view of <NUM> degrees with preferably <NUM> degree of facial recognition ability. Preferably, software is employed in association with the cameras to monitor shopper interactions, serve up relevant advertisement content on the displays <NUM>, and track advertisement engagement in-store. The controller/data collector <NUM> may be configured to independently control each camera, as well as collectively control a plurality of displays <NUM>, to serve up single-screen and/or multiple screen content and interactions. Preferably, the controller/data collector <NUM> and displays <NUM> are configured to allow for both banner advertisements and full-screen advertisements to be displayed at the same time on a single display <NUM>.

Each retail product container <NUM> further comprises inventory- taking hardware <NUM> such as additional cameras and/or sensors that are disposed inside the retail product container <NUM> and face the products.

As shown in <FIG>, the controller/data collector <NUM> is networked (preferably a cloud network) with the retail product containers <NUM>, such as via conventional means, such the Internet, Bluetooth, etc., via wired Ethernet, wireless LAN or a cellular network. The controller/data collector <NUM> is configured to control the displays <NUM> of the retail product containers <NUM>, as well as is configured to receive information from the retail product containers <NUM>, such as information from the displays <NUM> (such as information regarding touchscreen interactions), as well as information from the customer-detecting hardware <NUM> and inventory-taking hardware <NUM> of the retail product containers <NUM>. As shown, each retail product container <NUM> includes interfacing/additional hardware <NUM> which is configured to facilitate, among other things, the networking and transfer of information (i.e., data) between the controller/data collector <NUM> and the retail product container <NUM> and overall control and function of the display <NUM>, customer-detecting hardware <NUM> and inventory-taking hardware <NUM>.

The controller/data collector <NUM> may comprise a server having one or more processors, memory storage, a user interface, etc. and is configured to not only dictate what is displayed on the displays <NUM> of the retail product containers <NUM> and receive information and data from the retail product containers <NUM>, but is also preferably configured to perform analytics based on information and data which has been received.

The controller/data collector <NUM> is configured to control the display <NUM> of each retail product container <NUM> such that each display <NUM> provides planograms relating to retail products physically contained in the internal storage volume of the retail product container <NUM> (but not viewable through the display <NUM>) based on inventory taken by the controller/data collector <NUM> using the inventory- taking hardware <NUM> of the retail product container <NUM>. As such, there is no downside to the fact that, in reality, products stored in the retail product container <NUM> may not be neatly stored therein, or that products stored therein may beblocked from view by other products stored therein. The planograms which are displayed on the displays <NUM> of the retail product containers <NUM> effectively optimize what is presented to the customer.

The controller/data collector <NUM> is configured to control the display <NUM> of each retail product container <NUM> to display current pricing information regarding products physically contained in the internal storage volume of the retail product container <NUM>, wherein the pricing is dictated by the controller/data collector <NUM>.

The controller/data collector <NUM> is configured to detectcustomers using the customer-detecting hardware <NUM>, and is configured to display promotions on the at least display <NUM> based on what is detected by the controller/data collector <NUM> using the customer-detecting hardware <NUM>.

As discussed above, the controller/data collector <NUM> effectively takes an inventory of each retail product container <NUM> (i.e., using the inventory-taking hardware <NUM> along with image recognition software). Preferably, the controller/data collector <NUM> is configured to transmit data to a distributor and/or store regarding overall stock relating to the inventory of the plurality of retail product containers <NUM>. More specifically, the overall system can be configured to issue restock notifications, provide merchandising updates, pricing management, real time sales data and behavioral consumer analytics. As such, the system provides advertising, flawless merchandising, real time pricing and promotions, an inventory and direct store delivery solution and the power of analytics.

It should be noted that <FIG> only depicts some of the components of a retail product container <NUM> and the retail product container <NUM> will inevitably include other components, such as possibly a refrigeration unit, etc. which are not specifically relevant to the present invention.

Preferably, a plurality of retail product containers <NUM> and associated displays <NUM> are arranged side-by-side down an aisle of a retail store, such as a grocery store, and the controller/data collector <NUM> is configured to operate the displays <NUM> depending on what is detected by both the customer-detecting hardware <NUM> and inventory-taking hardware <NUM>.

For example, preferably the controller/data collector <NUM> is configured to operate the displays <NUM> such that the displays <NUM> display full screen advertisements if no motion is detected (or motion is no longer detected) by the customer-detecting hardware <NUM>. In other words, as a customer is approaching an aisle, the customer sees full screen advertisements on the displays <NUM>.

Preferably, the controller/data collector <NUM> is configured such that if motion is detected within twenty feet of a retail product container <NUM> (i.e., by customer-detecting hardware <NUM>) mounted on the door of that retail product container <NUM>), the controller/data collector <NUM> operates that particular display <NUM> to stop displaying a full screen advertisement, and instead display a planogram of products which are located inside the retail product container <NUM>. Preferably, banner advertisements and pricing tags are also loaded and displayed at the same time. Preferably, the controller/data collector <NUM> is configured to manage merchandising advertising objects and layers. This can be facilitated and managed remotely, or locally at an individual retail location such as by using a content management application.

Preferably, the controller/data collector <NUM> is configured such that as a shopper approaches closer to a given retail product container <NUM>, the display <NUM> associated with the retail product container <NUM> changes again. For example, the display <NUM> can change such that it then displays labels (e.g., organic, non-gmo, etc.) and tags (e.g., sale with local card, locally made, trending, etc.). These promotional labels and tags can be activated via the controller/data collector <NUM> and can be either selected from a pre-determined set of static animated icons, or they can be customized by the retailer and/or brands based on their business and marketing needs. The controller/data collector <NUM> can be configured to incorporate customer rating scores (e.g., <NUM>-<NUM> stars, trending, favorites, etc.) using one or more consumer review sources.

Preferably, the controller/data collector <NUM> is configured such that as a shopper stands or lingers in front of a given retail product container <NUM>, the display <NUM> associated with the retail product container <NUM> changes yet again. At this point, preferably the controller/data collector <NUM> has been able to use the customer-detecting hardware <NUM> to effectively learn more about that particular customer, such as gender, age, mood, etc. The controller/data collector <NUM> is configured to take what has been detected about the customer to determine which advertisement and other information to present to that particular customer on the display <NUM> associated with the retail product container <NUM> in front of which the customer is standing. By tracking shopper data in parallel with which advertising content is being served on all displays <NUM> within the viewing range of the shopper, the retailer and the brands are better served, providing new influence opportunities at the moment of purchasing decision, optimizing marketing spend and generating new revenue streams.

Preferably, the controller/data collector <NUM> and displays <NUM> are configured such that, while a shopper is standing in front of a given display <NUM> (as detected by a camera mounted on a door of that particular retail product container <NUM>) relevant conditional ads are displayed on that display <NUM> such as real-time data relating to news events, weather, sporting events, etc. (i.e., in addition to information and advertisements relating to the contents of the retail product container <NUM>, such as banner advertisements, horizontal advertisements, full screen advertisements, tags, labels, spot advertisements, etc.).

As discussed above, the controller/data collector <NUM> is configured to keep track of the inventory of a given retail product container <NUM> by using inventory-taking hardware <NUM>, such as one or more cameras and/or sensors on the inside of the retail product container <NUM>. Preferably, when the controller/data collector <NUM> has determined that a given product is out of stock, the controller/data collector <NUM> takes this into consideration when controlling what is displayed on the display <NUM> of that particular retail product container <NUM>. For example, out of stock artwork can be displayed and/or advertisements can be swapped, such that out of stock advertising opportunities can be sold to different brands, wherein certain advertisements are displayed given certain out of stock scenarios.

<FIG> illustrates the hardware stack of the platform. As shown, the hardware stack consists of an LCD display (i.e., display <NUM>), display content supplied via dedicated PC-based media players, connected to the network via Edge router and equipped with smart IOT devices (i.e., cameras and sensors). The diagram shown in <FIG> describes the system configuration diagram and flow chart of the advertisement content and key hardware components involved. Preferably, proprietary UI/UX content products are generated, that are managed centrally (remotely) via network. This will help manage the media scheduling and any layout modifications remotely.

Additionally, preferably all inputs collected by the IOT devices will be analyzed locally as well as remotely (via cloud) to provide the feedback inputs for the system to push more relevant/targeted content, tailored for the consumer. The analytics are preferably conducted anonymously, images captured by cameras are preferably processed to collect statistics on consumer demographic characteristics: (such as age and gender). This data is preferably subsequently analyzed for additional statistics for the retailors that are valuable for in-store merchandise layout design and smart merchandizing, including the ability to track the shoppers "traffic" areas, known as "heat maps", areas were customers would concentrate more and spend more time exploring, etc..

Preferably, the interior facing cameras are utilized to ensure that products on the shelves are constantly monitored for out-of-stock warning. When a product is sold out, the signal preferably alerts the system to update the layout on the display as well as the store operator.

Preferably, by default, the platform is preferably programmed to run full screen advertisements. Customer-facing cameras are programmed to have motion detection capability, analyze an approaching customer, and switch the system to display planograms of products placed on the shelves. Further analytics based on the images captured by these cameras preferably triggers tailored promotional ads.

Preferably, at least a portion of the display is configured to have interactive touch capability, enabling the shoppers to explore further detailed information about various products, while minimizing the interference with other shoppers who would be able to see all the products displayed on the planogram and be able to proceed and pick up the product of their choice.

The system may be configured to track eye movements of the consumer (such as by using powerful software tools coupled with specific hardware that uses infrared sources to track eye movements) and correlate gaze spots with advertisements. This amounts to a very powerful demonstration tool to measurethe success of the advertisement and its ability to impact the decision of the shopping consumer.

As discussed above, preferably each retail storage container <NUM> has a door and a display <NUM> is mounted on that door along with customer-detecting hardware <NUM>, such as one or more proximity sensors (such as heat maps), cameras, facial sensors or scanners, and eye-sensors (i.e., iris-tracking sensors). <FIG> illustrates the front <NUM> of the door <NUM> providing the display <NUM> and the customer-detecting hardware <NUM>, such as a camera. As shown, preferably the display <NUM> is in the form of an LCD panel comprising one or more touch zones <NUM> which are interactive by the customer. An access panel <NUM> may be provided proximate the bottom of the door <NUM> along with a media player <NUM>. Although not specifically shown, a protective panel may be generally mounted over the display <NUM>.

As shown in <FIG>, cameras or other types of sensors (i.e. inventory-taking hardware <NUM>) may be provided on the back <NUM> of the door <NUM> which the controller/data collector <NUM> (shown in <FIG>) can use to keep track of inventory regarding the interior contents of the retail product container <NUM>.

As a business model, the cooler doors of a retail store can be retrofit with "smart" cooler doors having displays, cameras and sensors that collectively measure, react, learn and communicate in order to optimize the metrics.

The intelligent marketing and advertising platform disclosed herein effectively prides for at least the following: the convergence of a brick and mortar retail establishment with e-commerce; in-store promotions as an electronic marketplace; real time and algorithmic-driven pricing and promotions; self-learning /machine-learning artificial intelligence algorithm-driven advertising which is personalized to a given consumer; behavior response and external data (i.e. weather, events, competition, etc.); and smart-sensor and digital merchandising for planogram compliance, automatic-restock, in-store audits, etc..

The advertising method for in-store retail signage disclosed herein effectively employs two primary technologies - large scale brand/product advertising rotations and planogram screens (preferably activated when a customer gets within three feet) with non-obtrusive ad banners or hot-spots.

<FIG> illustrates solution architecture of the intelligent marketing and advertising platform disclosed herein, <FIG> illustrates one possible platform stack of the intelligent marketing and advertising platform disclosed herein, and <FIG> (the left half of <FIG> is <FIG> and the right half of <FIG> is <FIG>) illustrates one possible system architecture which can be implemented in connection with the present invention. <FIG> illustrates a "sandwich" of layers of possible content for the display <NUM> disclosed herein. <FIG> illustrates different types of advertisements that can be displayed on the display <NUM>, such as full size advertisement, a banner advertisement, a hot spot, labels and tags, and a spot deal, for example. <FIG> are self-explanatory.

As discussed above, each retail product container <NUM> preferably comprises inventory-taking hardware <NUM>, such as cameras, that are disposed inside the retail product container <NUM> and face the products. Specifically, the cameras may be provided on the back <NUM> of the door <NUM> which the controller/data collector <NUM> (shown in <FIG>) can use to keep track of inventory regarding the interior contents of the retail product container <NUM>. In other words, the controller/data collector <NUM> is preferably configured to keep track of the inventory of a given retail product container <NUM> by using the cameras.

As such, an embodiment of the present invention effectively provides an automated ability to detect the inventory of products placed inside each retail product container <NUM> and update the planograms that are displaying the products on the display <NUM> (such as an LCD screen). If any item has gone "out of stock," preferably the system is configured to detect and update the information on the display <NUM> to guide the consumers and store operators.

Preferably, the automatic detection system utilizes cameras, pointed to take pictures of the interior shelves of the retail product container <NUM> in conjunction with software that utilizes smart algorithms to conduct image analysis and subsequent analytics to extract the required information.

While one embodiment could provide that numerous cameras are placed in arrays to image and assemble the entire shelf area by adding individual pictures together using software, an array of cameras, however, poses challenges as all of them must be plugged into the operating PC which typically has limited number of inputs. Therefore, a more preferred embodiment is shown in <FIG>, wherein cameras (one of the cameras is identified with reference numeral <NUM> in <FIG>) are mounted on the edge of the back <NUM> of the door <NUM>, and preferably the cameras are housed on brackets <NUM> tilted at an angle to enable taking pictures when the door <NUM> is swung open.

While an embodiment of the present invention could provide that wide field of view cameras (e.g. <NUM>° FOV ("fisheye")) are utilized because they provide for large area coverage, typically the image quality from such cameras is inadequate as objects get severely distorted on the edges, limiting the software's capability to "recognize" the images with regard to the image processing step. As such, a more preferred embodiment provides that miniature cameras with <NUM>° Field of View (Diagonal) are mounted on <NUM>° angled housings along the edge on the handle side of the door <NUM>. As shown in <FIG>, preferably the cameras are housed within an empty bezel space <NUM>, between the display panel assembly <NUM> and the unit's mechanical frame <NUM>. Any number of cameras can be provided on the inside of each door of each retail product container <NUM>. For example, as shown in <FIG>, three cameras <NUM> may be distributed at an equal distance along the height of each door <NUM> to allow for complete height and width coverage of the shelf space (i.e., inside the retail product container <NUM>).

Preferably, the system is configured such that during door operation (i.e., when the door <NUM> is opened), the cameras <NUM> get triggered and take pictures at various intervals when the door <NUM> is open. Preferably, the system is configured to process the images and effectively reconstruct the entire shelf. The system may be configured such that the cameras get triggered in any number of ways. For example, the system could be configured such that the cameras get triggered by:.

Regardless of exactly what triggers the cameras, preferably the system is configured such that images captured by the cameras are effectively "stitched" together to reconstruct the entire shelf space. Preferably, the system is configuredto utilize image processing compare the images and conclude whether any of the products on shelves are missing. If any of the particular products are missing, preferably the system is configured to send a signal to content management software to update the planogram appropriately (i.e., on the display <NUM>), preferably displaying that product as being "out of stock". Additionally, preferably the system is configured to notify a store inventory management team, such that re-stocking of that particular item on that particular shelf can take place quickly.

In preceding embodiment involving the stitching together of multiple captured images, the disclosed system may capture a plurality of images using a first, second, and third camera as the door rotates. For example, the first photo may be taken by the first camera, the second photo may be taken by the second camera, and the third photo taken by the third camera. A controller on or near the retail product container may combine the pertinent portion of the three photos into a single, composite image. Alternatively, instead of a single photo from each of three cameras, the first camera may take multiple photos and combine them with one or more photos taken by the second camera and third camera. In other words, the controller may instruct the plurality of cameras to capture a number of images as the door rotates, thus capturing images from different positions/angles with respect to the internal contents of the retail product container. In one example, the controller may change the frequency of capture of photos-i.e., the controller may increase the number of images captured- if the controller receives measurements that the door is swinging at a higher rotational speed. In another example, the controller may change the frequency and/or other parameters of the cameras based on other situational or environmental factors. For example, in low light situations, the operating parameters of the one or more cameras may be adjusted to accommodate. In other examples, moisture or condensation on a camera lens may be detected and result in the controller modifying the operational parameters of affected cameras.

Furthermore, in other examples, the plurality of cameras installed on the swingable door of a retail product container may be one or more motion video cameras. As such, these video cameras may capture multiple video frames from a start position to a predefined end position of the rotation of the door. The end position may be a set predefined position, a predefined range, or a predefined relative rotation angle from the start position (e.g., once the door has rotated through <NUM> degrees from a start position.

In one example, the plurality of images, which are captured by the system using a first, second, and third camera as the door rotates, may be sent to an electronic controller at or near the retail product container. The controller may execute computer-executable instructions to digitally combine the plurality of images into a single panoramic, composite image. The composite image may be large in size, thus consume a sizable amount of computer memory/storage at the controller. In some embodiments, the composite image may undergo post-processing to reduce the storage consumed by the image. In one example, artificial intelligence using a neural network, such as a convolutional neural network, may be used to identify a boundary edge of the pertinent portions of the contents of the retail product container. As a result, those areas of the image outside of the boundary edge may be affirmatively discarded by the post-processing module executing on the controller. The out-of-bound areas may be those portions of the image that are outside of the edge frame of the retail product container. At least one benefit of the preceding example of post-processing is a saving in memory storage capacity at the edge location. Moreover, a smaller image size also results in less network bandwidth consumption to transmit the image from the controller to one or more remote servers in the cloud.

In one example, a controller may be coupled with the one or more cameras installed in or on the door to automatically adjust parameters. The controller may adjust parameters of the camera, such as, but not limited to, exposure, focus position, sensor gain/ISO speed, aperture size, etc. Values for exposure may be in units of time, and other parameters may be in others units in different operating scenarios. Moreover, a person of skill in the art after review of the entirety disclosed herein will appreciate that one or more of the parameters may be interrelated or dependent. For example, an exposure of <NUM>/<NUM> sec at f/<NUM>, ISO <NUM> is equivalent to an exposure of <NUM>/<NUM> sec at f/<NUM>, ISO <NUM>. In other words, because the shutter speed has been reduced by four stops, this means less light is being captured by the image sensor in the camera. As a result, the aperture is increased in size by four stops to allow more light into the camera assembly. A person having ordinary skill in the art would appreciate that there are benefits and disadvantages to adjusting the parameters in one way versus another. For example, to maximize exposure, camera settings/parameters might be set to a large aperture, <NUM> ISO, and a slow shutter speed. In contrast, to minimize exposure, camera settings/parameters would be set to a small aperture, <NUM> ISO, and a fast shutter speed. Of course, the sharpness of the captured image might be effected by depth of field, aperture, and shutter speed parameters. With many examples disclosed herein involving a capture at a relatively close distance of an image of a stationary retail product stored in a retail product container, the ability to capture an image without introducing blurriness or planar warp is a consideration. Moreover, in some examples, the image sensor of the camera may be in motion at the time of image capture, thus introducing a relative motion between the subject being captured and the camera.

Regarding blurriness, the controller may execute computer-executable instructions (e.g., firmware, software, or application specific integrated circuits) to perform post-processing on the captured images to mitigate blurriness. In one example, a blurriness mitigation module in the controller may identify portions of captured images that are duplicative across the plurality of images captured. And, then select the appropriate portions from those duplicate images where the blurriness (and other undesirable image characteristics) are reduced. As explained herein, during the process of stitching together the multiple, captured images, the portions identified by the blurriness mitigation module may be incorporated into the final, composite image.

Referring to <FIG>, when some cameras types are rotated <NUM>°, they may need more than <NUM> of thickness because of the width of the circuit board. The camera position shown in <FIG> protrudes beyond the thin cover of the display screen assembly. The proudest point of the camera lies in the same plane as the face of the camera lenses in the display screen assembly, in some embodiments. Meanwhile, in other embodiments, the camera is intentionally positioned to protrude past the edge of the LCD/LED display unit, which is shown as the large light-colored object in the lower left of the illustration of <FIG>. At least one benefit of such positioning is that the camera's view might not be obstructed. In some embodiments, such positioning might lead to the location of the camera to be about <NUM>" (<NUM>) from the hinge axis. In other embodiments, the positioning may be in a range that includes <NUM>" (<NUM>). Meanwhile, in other embodiments, the location may be outside of any such range, depending on the implementation.

In one illustrative embodiment, the camera to shelf distance may be positioned at four inches (<NUM>), and the retail products on the shelves may be generally centered relative to the door frame. Meanwhile, the camera may have an about <NUM>° diagonal field of view (FOV) and oriented so that the view is wider in the direction of the camera's skinny dimension. That is, the camera is positioned near the handle side of the door with a <NUM>° tilt towards the hinge side without having its view blocked by the display screen inside the door. While one embodiment identifies a <NUM>" (<NUM>) positioning, the disclosure is not so limited. The camera-to-shelf distance may be set to a value other than four inches (<NUM>), in some examples.

Referring to <FIG>, a portion of a door of a retail product container is shown. The three cameras oriented as shown in <FIG> can capture the entirety of a shelf of a retail product container when the door is open at any angle larger than about <NUM>°. In some other examples, the type of camera and/or specifications of the camera may result in the angle being greater or less than <NUM>°.

In those examples where the camera is built with the sensor oriented in the perpendicular direction, two cameras may be enough. Two cameras, positioned <NUM>" (<NUM>) or more from the hinge, rotated about <NUM>° towards the hinge edge of the door, can view the entire scene of the contents of a retail product container if the camera locations are <NUM>" (<NUM>) from the top and bottom edges and <NUM>" (<NUM>) from each other. Of course, a person of skill in the art after review of the entirety disclosed herein will appreciate that the disclosure is not limited to the <NUM>" (<NUM>), <NUM>" (<NUM>), and <NUM>-degree specifications indicated in the preceding example. Rather, the specifications are understood to be adjusted based on the fundamental teachings of this disclosure.

<FIG> provides a block diagram of a method that is in accordance with an example of the present invention and is self-explanatory given the foregoing description.

Referring to <FIG>, one example of spacing for the cameras on a door of a retail product container is illustrated. In the example of <FIG>, the top and bottom cameras are <NUM>" (<NUM>) from the outer faces of the door frame. And, the center camera is centered on the door edge and <NUM>" (<NUM>) from each of the other two cameras. In other examples where the door is not centered vertically on the products on the shelves inside the retail product container, the position of one or more of the three cameras may be shifted up or down accordingly. The cameras may be angled so their FOV is just slightly missing the inside surface of the door. Because the hinge is close to the edge of the shelves, this positioning keeps the hinge side of the scene at the edge of the camera image for almost all door angles.

Referring to <FIG>, four illustrations are shown of different views of an illustrative retail product container and door from the front and top when the door is open about <NUM>° or <NUM>°. The camera field of view (FOV) is shown as a transparent pyramid (triangle in the top views). The face of the shelves is shown as a (red) inner plane. When the door is open <NUM>° or more, the entire scene is contained within the FOV. When the door angle decreases to <NUM>°, portions of the scene on the handle side start to move outside the camera FOV. A person of skill in the art after review of the entirety disclosed herein will appreciate that the disclosure is not limited to the specific angles disclosed in the preceding example. Rather, the angles and specifications may be adjusted based on the fundamental teachings of this disclosure.

Claim 1:
An intelligent marketing and advertising platform (<NUM>) comprising: a plurality of retail product containers (<NUM>), each retail product container (<NUM>) having internal storage volume, each retail product container (<NUM>) comprising at least one non- transparent display (<NUM>) which prohibits viewing of the internal storage volume of the retail product container (<NUM>), each retail product container (<NUM>) further comprising customer- detecting hardware (<NUM>), and each retail product container (<NUM>) comprising inventory-taking hardware (<NUM>); a controller/data collector (<NUM>) in communication with the plurality of retail product containers (<NUM>), wherein the controller/data collector (<NUM>) is configured to control the at least one non-transparent display (<NUM>) of each retail product container (<NUM>) such that each non-transparent display (<NUM>) provides a planogram relating to retail products physically contained in the internal storage volume of the retail product container (<NUM>) based on inventory taken by said controller/data collector (<NUM>) using the inventory- taking hardware (<NUM>) of the retail product container (<NUM>), wherein the controller/data collector (<NUM>) is configured to control the at least one non-transparent display (<NUM>) of each retail product container (<NUM>) to display current pricing information regarding products physically contained in the internal storage volume of the retail product container (<NUM>), wherein the pricing is dictated by the controller/data collector (<NUM>), wherein the controller/data collector (<NUM>) is configured to detect customers using the customer-detecting hardware (<NUM>), and wherein the controller/data collector (<NUM>) is configured to display promotions on the at least one non-transparent display (<NUM>) of each retail product container (<NUM>) based on what is detected by the controller/data collector (<NUM>) using the customer-detecting hardware (<NUM>), characterised in that wherein the controller/data collector (<NUM>) uses the inventory-taking hardware (<NUM>) to capture a plurality of images of the internal storage volume when a door of the retail product container (<NUM>) rotates, and wherein the controller/data collector (<NUM>) is configured to change a frequency of capture of the plurality of images based on a rotational speed of the door detected by at least one accelerometer (<NUM>) on the door.