Abstract: A system for acquiring images of products in a retail store is disclosed. The system may include at least one first housing configured for location on a retail shelving unit, and at least one image capture device included in the at least one first housing and configured relative to the at least one first housing such that an optical axis of the at least one image capture device is directed toward an opposing retail shelving unit when the at least one first housing is fixedly mounted on the retail shelving unit. The system may further include a second housing configured for location on the retail shelving unit separate from the at least one first housing, the second housing may contain at least one processor configured to control the at least one image capture device and also to control a network interface for communicating with a remote server.

Abstract: A system for identifying products and tracking inventory in a retail store based on analysis of image data is provided. The system may comprise at least one processor configured to receive image data from a plurality of image sensors mounted in a retail store; analyze the image data to estimate a current inventory of at least one product type in the retail store; receive product supply information associated with the at least one product type in the retail store; determine that an online order from a virtual store made during a first time period will be fulfilled by an employee of the retail store during a second time period; determine a predicted inventory of the at least one product type during the second time period; and provide information to the virtual store regarding the predicted inventory of the at least one product type during the second time period.

Abstract: A system for processing images captured in a retail store is provided. The system may comprise at least one processor configured receive at least one image depicting part of at least one store shelf having a plurality of products displayed thereon, the plurality of products including a group of first products associated with a first product size and a group of second products associated with a second product size, analyze the at least one image to detect the plurality of products, identify one or more vacant spaces associated with the plurality of products, determine that by rearranging the group of second products to partially eliminate the one or more identified vacant spaces, at least one additional first product may be displayed on the at least one store shelf next to the group of first products, and provide information to a user indicative of the identified vacant spaces.

Abstract: A system for acquiring images of products in a retail store is disclosed. The system may include at least one first housing configured for location on a retail shelving unit, and at least one image capture device included in the at least one first housing and configured relative to the at least one first housing such that an optical axis of the at least one image capture device is directed toward an opposing retail shelving unit when the at least one first housing is fixedly mounted on the retail shelving unit. The system may further include a second housing configured for location on the retail shelving unit separate from the at least one first housing, the second housing may contain at least one processor configured to control the at least one image capture device and also to control a network interface for communicating with a remote server.

Abstract: A system for processing images captured in a retail store is provided. The system may include at least one processor configured to receive an image depicting a store shelf having at least one bottle displayed thereon and analyze the image to detect a representation in the image of the at least one bottle. The at least one bottle may have an outline design. The at least one processor is also configured to identify in the image two outline elements being associated with the outline design of the at least one bottle. Each of the two outline elements may have a specific length. The at least one processor may further be configured to determine a size of the at least one bottle based on a comparison of the lengths of the two outline elements.

Abstract: A system for identifying products and tracking inventory in a retail store based on analysis of image data is provided. The system may comprise at least one processor configured to receive image data from a plurality of image sensors mounted in a retail store; analyze the image data to estimate a current inventory of at least one product type in the retail store; receive product supply information associated with the at least one product type in the retail store; determine that an online order from a virtual store made during a first time period will be fulfilled by an employee of the retail store during a second time period; determine a predicted inventory of the at least one product type during the second time period; and provide information to the virtual store regarding the predicted inventory of the at least one product type during the second time period.

Abstract: A system for processing images to automatically identify occlusions in a field of view of one or more cameras in retail stores is provided. The system may comprise at least one processor configured to receive one or more images from an environment of a retail store, detect in the one or more images a first occlusion event, analyze the plurality of images to determine an indicator of a first level of urgency for resolving the first occlusion event, cause issuance of a user-notification associated with the first occlusion event, detect in the one or more images a second occlusion event, analyze the plurality of images to determine an indicator of a second level of urgency for resolving the second occlusion event, and when the second urgency level is lower than the first urgency level, withhold issuance of a user-notification associated with the second occlusion event.

Abstract: A system for processing images captured in a retail store is provided. The system may include at least one processor configured to receive an image depicting a store shelf having at least one bottle displayed thereon and analyze the image to detect a representation in the image of the at least one bottle. The at least one bottle may have an outline design. The at least one processor is also configured to identify in the image two outline elements being associated with the outline design of the at least one bottle. Each of the two outline elements may have a specific length. The at least one processor may further be configured to determine a size of the at least one bottle based on a comparison of the lengths of the two outline elements.

Abstract: A system for processing images captured in a retail store is provided. The system may comprise at least one processor configured receive at least one image depicting part of at least one store shelf having a plurality of products displayed thereon, the plurality of products including a group of first products associated with a first product size and a group of second products associated with a second product size, analyze the at least one image to detect the plurality of products, identify one or more vacant spaces associated with the plurality of products, determine that by rearranging the group of second products to partially eliminate the one or more identified vacant spaces, at least one additional first product may be displayed on the at least one store shelf next to the group of first products, and provide information to a user indicative of the identified vacant spaces.

Abstract: The present disclosure relates to systems and for identifying products and tracking inventory in a retail store based on analysis of image data. In one implementation, the system may include processor configured to receive image data from a plurality of image sensors mounted in a retail store; analyze the image data to estimate a current inventory of at least one product type in the retail store; receive product supply information associated with the at least one product type in the retail store; determine that an online order from a virtual store made during a first time period will be fulfilled by an employee of the retail store during a second time period; and determine, based on the current inventory estimated by analyzing the image data and the product supply information, a predicted inventory of the at least one product type during the second time period.

Abstract: A system for processing images to automatically identify occlusions in a field of view of one or more cameras in retail stores is provided. The system may comprise at least one processor configured to receive one or more images from an environment of a retail store, detect in the one or more images a first occlusion event, analyze the plurality of images to determine an indicator of a first level of urgency for resolving the first occlusion event, cause issuance of a user-notification associated with the first occlusion event, detect in the one or more images a second occlusion event, analyze the plurality of images to determine an indicator of a second level of urgency for resolving the second occlusion event, and when the second urgency level is lower than the first urgency level, withhold issuance of a user-notification associated with the second occlusion event.

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.