Abstract: A system for identifying perishable products in a retail store based on analysis of image data and for automatically generating suggestions relating to the identified products is provided. The system may comprise at least one processor configured to: receive a set of images depicting a plurality of perishable products displayed on at least one shelving unit in a retail store; analyze the set of images to determine information about a displayed inventory of the plurality of perishable products; obtain information about additional perishable products scheduled to be displayed on the at least one shelving unit; use the information about the displayed inventory and the information about the additional perishable products to determine at least one suggestion regarding placement of perishable products in the retail store; and provide the at least one suggestion to an entity associated with the retail store.

Abstract: A system for processing images captured in a retail store and automatically identifying misplaced products is provided. The system may comprise at least one processor configured to receive one or more images captured by one or more image sensors from an environment of a retail store, detect in the one or more images a first product, determine that the first product is not located in the first correct display location, cause an issuance of a user-notification associated with the first product, detect in the one or more images a second product, determine that the second product is not located in the second correct display location, and after determining that the second product is not located in the second correct display location and when the second urgency level is lower than the first urgency level, withhold issuance of a user-notification associated with the second product.

Abstract: A system for identifying perishable products in a retail store based on analysis of image data and for automatically generating suggestions relating to the identified products is provided. The system may comprise at least one processor configured to: receive a set of images depicting a plurality of perishable products displayed on at least one shelving unit in a retail store; analyze the set of images to determine information about a displayed inventory of the plurality of perishable products; obtain information about additional perishable products scheduled to be displayed on the at least one shelving unit; use the information about the displayed inventory and the information about the additional perishable products to determine at least one suggestion regarding placement of perishable products in the retail store; and provide the at least one suggestion to an entity associated with the retail store.

Abstract: A system for identifying perishable products in a retail store based on analysis of image data and for automatically generating suggestions relating to the identified products is provided. The system may comprise at least one processor configured to: receive a set of images depicting a plurality of perishable products displayed on at least one shelving unit in a retail store; analyze the set of images to determine information about a displayed inventory of the plurality of perishable products; obtain information about additional perishable products scheduled to be displayed on the at least one shelving unit; use the information about the displayed inventory and the information about the additional perishable products to determine at least one suggestion regarding placement of perishable products in the retail store; and provide the at least one suggestion to an entity associated with the retail store.

Abstract: A non-transitory computer-readable medium includes instructions that when executed by a processor cause the processor to perform a method for providing visual navigation assistance in retail stores, which may include receiving a first indoor location of a user within a retail store; receiving a target destination; and providing first navigation data to the user through a first visual interface. The method may also include, after providing the first navigation data, receiving a second indoor location of the user within the retail store; determining that the second indoor location is within a selected area around the target destination, with the selected area not including the first indoor location; and, in response to the determination that the second indoor location is within the selected area around the target destination, providing second navigation data to the user through a second visual interface, where the second visual interface differs from the first visual interface.

Abstract: Methods, systems, and computer-readable media are provided for controlling information displayed on a transparent electronic display that is part of a door for a retail storage container. In one implementation, a method may include: receiving an indication of at least one position associated with a first product type in the retail storage container; receiving an indication of at least one position associated with a second product type in the retail storage container; using the indication of the at least one position associated with the first product type to select a first region of the transparent electronic display; using the indication of the at least one position associated with the second product type to select a second region of the transparent electronic display; displaying visual information related to the first product type; and displaying visual information related to the second product type.

Abstract: Methods, systems, and computer-readable media are provided for selecting items for presentation on electronic visual displays in retail stores. In one implementation, a method may comprise: obtaining an image of products in a retail store captured using at least one image sensor; analyzing the image to determine a condition of products of a particular product type; based on the determined condition of the products of the particular product type, selecting whether to display a particular item on an electronic visual display in the retail store; in response to a selection to display the particular item, causing the electronic visual display to display the particular item; and in response to a selection not to display the particular item, forgoing causing the electronic visual display to display the particular item.

Abstract: Methods, systems, and computer-readable media are provided for customized presentation of items on electronic visual displays in retail stores. In one implementation, a method may comprise: obtaining a plurality of images of products in a retail store captured; analyzing a first image to determine whether products of a particular product type are available at a first point in time; analyzing a second image to determine whether products of the particular product type are available at a second point in time; based on the determination of whether products of the particular product type are available at the first point in time and the determination of whether products of the particular product type are available at the second point in time, selecting at least one display parameter for a particular item; and using the selected at least one display parameter to display the particular item on an electronic visual display.

Abstract: Methods, systems, and computer-readable media are provided for providing information on electronic visual displays in retail stores. In one implementation, a door for a retail storage container may include at least a first part that is configured to face customers when the door is closed and a second part configured to face the internal side of the retail storage container when the door is closed. Further, the second part may include at least an electronic visual display configured to display information, and at least part of the electronic visual display may be configured to be visible to the customers at least when the door is open at a selected angle.

Abstract: Methods, systems, and computer-readable media are provided for customized presentation of items on electronic visual displays in retail stores. In one implementation, the method may comprise: obtaining an image of products in a retail store captured using at least one image sensor; analyzing the image to determine a condition of products of a particular product type; based on the determined condition of the products of the particular product type, selecting at least one display parameter for a particular item; and using the selected at least one display parameter to display the particular item on an electronic visual display in the retail store.

Abstract: Methods, systems, and computer-readable media are provided for selecting items for presentation on electronic visual displays in retail stores. In one implementation, a method may comprise: obtaining a plurality of images of products in a retail store; analyzing a first image to determine whether products of a particular product type are available at a first point in time; analyzing a second image to determine whether products of the particular product type are available at a second point in time; and based on the determination of whether products of the particular product type are available at the first point in time and the determination of whether products of the particular product type are available at the second point in time, selecting whether to display a particular item on an electronic visual display in the retail store.

Abstract: A non-transitory computer-readable medium includes instructions that when executed by a processor cause the processor to perform a method for providing visual navigation assistance in retail stores, which may include receiving a first indoor location of a user within a retail store; receiving a target destination; and providing first navigation data to the user through a first visual interface. The method may also include, after providing the first navigation data, receiving a second indoor location of the user within the retail store; determining that the second indoor location is within a selected area around the target destination, with the selected area not including the first indoor location; and, in response to the determination that the second indoor location is within the selected area around the target destination, providing second navigation data to the user through a second visual interface, where the second visual interface differs from the first visual interface.

Abstract: A system for processing images captured in a retail store is provided. The system may include a processor configured to: access a database storing a group of product models; receive an image depicting at least part of a store shelf having a plurality of products of a same type displayed thereon; analyze the image and determine a first candidate type of the products based on the group of product models and the image analysis; determine a first confidence level associated with the first candidate type; when the first confidence level is below a confidence threshold, determine a second candidate type of the products using contextual information; determine a second confidence level associated with the determined second candidate type of the plurality of products; and when the second confidence level is above the confidence threshold, initiate an action to update the group of product models stored in the database.

Abstract: A system for processing images captured in a retail store and automatically identifying misplaced products is provided. The system may comprise at least one processor configured to receive one or more images captured by one or more image sensors from an environment of a retail store, detect in the one or more images a first product, determine that the first product is not located in the first correct display location, cause an issuance of a user-notification associated with the first product, detect in the one or more images a second product, determine that the second product is not located in the second correct display location, and after determining that the second product is not located in the second correct display location and when the second urgency level is lower than the first urgency level, withhold issuance of a user-notification associated with the second product.

Abstract: A system for identifying perishable products in a retail store based on analysis of image data and for automatically generating suggestions relating to the identified products is provided. The system may comprise at least one processor configured to: receive a set of images depicting a plurality of perishable products displayed on at least one shelving unit in a retail store; analyze the set of images to determine information about a displayed inventory of the plurality of perishable products; obtain information about additional perishable products scheduled to be displayed on the at least one shelving unit; use the information about the displayed inventory and the information about the additional perishable products to determine at least one suggestion regarding placement of perishable products in the retail store; and provide the at least one suggestion to an entity associated with the retail store.

Abstract: The present disclosure provides a method of image processing comprising: obtaining by an imaging device a low resolution version and a high resolution version of a retail image, the high resolution version of the retail image being a temporary file to be erased automatically after a predetermined time period; transmitting to a server the low resolution version of the retail image; upon receipt of a request from the server, the request including data representative of a contour of an unidentified item in the low resolution version of the retail image, cropping a high resolution item image from the high resolution version of the retail image, the high resolution item image corresponding to the contour of the unidentified item; and transmitting the high resolution item image to the server thereby enabling updating an item database.

Abstract: A system for processing images captured in a retail store and automatically identifying misplaced products is provided. The system may comprise at least one processor configured to receive one or more images captured by one or more image sensors from an environment of a retail store, detect in the one or more images a first product, determine that the first product is not located in the first correct display location, cause an issuance of a user-notification associated with the first product, detect in the one or more images a second product, determine that the second product is not located in the second correct display location, and after determining that the second product is not located in the second correct display location and when the second urgency level is lower than the first urgency level, withhold issuance of a user-notification associated with the second product.

Abstract: A system for processing images captured in a retail store is provided. The system may include a processor configured to: access a database storing a group of product models; receive an image depicting at least part of a store shelf having a plurality of products of a same type displayed thereon; analyze the image and determine a first candidate type of the products based on the group of product models and the image analysis; determine a first confidence level associated with the first candidate type; when the first confidence level is below a confidence threshold, determine a second candidate type of the products using contextual information; determine a second confidence level associated with the determined second candidate type of the plurality of products; and when the second confidence level is above the confidence threshold, initiate an action to update the group of product models stored in the database.

Abstract: This disclosure relates to systems, methods, and devices that can identify products on a shelf, and determine item descriptions and pricing from associated labels. In one embodiment, an image processing system for providing an indication about shelf label accuracy in a store is provided. The image processing system comprises at least one processor configured to receive, from a hand-held device, an image depicting products on store shelves, and associated labels coupled to the store shelves. The processor can be configured to process the image to identify at least some of the products and to access a database to determine associated product ID numbers. The processor can be further configured to determine product identifier and displayed price from the associated labels. The processor can also be configured to determine one or more product-label mismatches related to incorrect product placement on the shelf and to provide electronic notification of the mismatches.

Abstract: Methods, devices, and computer-readable storage media for providing a user with augmented guidance to capture images of products placed on a store shelving unit, the method including using an image sensor of a mobile device to capture and display in real-time a video stream depicting a store shelving unit, augmenting the video stream with a marking identifying an area of the store shelving unit and receiving an image including an area outside the marked area. A plurality of images captured by the image sensor and associated with a discontinuous first area of the store shelving unit with at least two non-overlapping regions and having image resolution higher than an image resolution of the video stream are used to mark the area of the video stream representing discontinuous first area and a second area outside the discontinuous first area. The received image overlaps the discontinuous first area and second area.