Abstract: The present disclosure relates to systems and methods for processing images captured in a retail store and automatically addressing detected conditions within the retail store. In one implementation, the system may include a processor configured to receive a plurality of images depicting a plurality of products displayed on a plurality of store shelves; detect in the plurality of images an indicator of a first service-improvement condition relating to the plurality of products; detect in the plurality of images an indicator of a second service-improvement condition relating to the plurality of products; determine a first product-related task for addressing the first service-improvement condition; determine a second product-related task for addressing the second service-improvement condition; and access a database storing information indicative of a first employee and a second employee on duty during a time interval over which the plurality of images was received.

Abstract: A system for acquiring images of products in a retail store is disclosed. The system may include a first housing configured for location on a retail shelving unit, and an image capture device included in the first housing and configured relative to the first housing such that an optical axis of the image capture device is directed toward an opposing retail shelving unit when the 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 first housing, the second housing containing a processor configured to control the image capture device and a network interface for communicating with a remote server. The system may further include a data conduit configured to enable transfer of control signals from the processor to the image capture device.

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 monitoring planogram compliance on a store shelf is disclosed. The system may include a plurality of detection elements and a processor. The processor may be configured to receive first signals from a first subset of detection elements after a plurality of products are placed on the store shelf, and use the first signals to identify at least one pattern associated with a product type of the products. The processor may further be configured to receive from a second subset of detection elements second signals indicative of no products being placed on at least one area of the store shelf, and use the second signals to determine at least one empty space on the store shelf. The processor may also be configured to determine, based on the at least one pattern and the at least one empty space, at least one aspect of planogram compliance.

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 in a retail store is provided. The system may include a processor configured to: receive an image depicting a store shelf and a product displayed thereon; select a product model subset based on a characteristic of the store shelf determined based on analysis of the image; determine whether the product model subset is applicable to the product; and when the product model subset is applicable to the product, analyze a representation of the product depicted in the image using the product model subset, and identify the product based on the analysis of the representation of the product.

Abstract: The present disclosure relates to systems and methods for identifying products in retail stores based on analysis of image data and for automatically generating performance indicators relating to the identified products. In one implementation, the system may include a processor configured to receive a first set of images depicting a first plurality of products associated with single product type displayed on a first shelving unit in a retail store; analyze the first set of images to determine first product turnover data associated with the first shelving unit; receive a second set of images depicting a second plurality of products also associated with the single product type displayed on a second shelving unit in the retail store nonadjacent to the first shelving unit; and analyze the second set of images to determine second product turnover data associated with the second shelving unit.

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.

Abstract: The present disclosure provides a method for providing an indication about a distance between a retail unit and an electronic device, comprising: acquiring from an image sensor in a retail establishment, at least one image of a product on a store shelf; accessing in a memory that stores a plurality of templates associated with a plurality of differing products, a template associated with the product on the store shelf in the at least one acquired image; comparing at least one dimension associated with the product in the at least one acquired image with at least one dimension associated with the accessed template; based on the comparison, determining whether a distance between the image sensor and the product on the store shelf is within an acceptable range for additional image processing; and providing a notification to a user of the electronic device to adjust the distance between the image sensor and the product on the shelf when the product is outside of the acceptable range.

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: 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: The present disclosure provides a computer implemented method of image processing comprising, upon receiving of first and second images from an imaging unit, the first and second images being respectively associated with first and second rotational changes between a reference orientation and the orientations of the first and second images: processing data representative of the first image and of the second image to compensate the first and second rotational changes between the reference orientation and the respective orientations of the first and second images, thereby obtaining first and second corrected images; processing the first corrected image to detect distinctive keypoints within a fronto-parallel strip of the first corrected image; searching keypoints in the second corrected image corresponding to the detected keypoints, and estimating a geometric transformation between the first and second images based on matching the keypoints in the first and the second corrected images.

Abstract: The present disclosure provides a method for providing an indication about a distance between a retail unit and an electronic device, comprising: acquiring from an image sensor in a retail establishment, at least one image of a product on a store shelf; accessing in a memory that stores a plurality of templates associated with a plurality of differing products, a template associated with the product on the store shelf in the at least one acquired image; comparing at least one dimension associated with the product in the at least one acquired image with at least one dimension associated with the accessed template; based on the comparison, determining whether a distance between the image sensor and the product on the store shelf is within an acceptable range for additional image processing; and providing a notification to a user of the electronic device to adjust the distance between the image sensor and the product on the shelf when the product is outside of the acceptable range.

Abstract: An electronic device and a corresponding method are presented. The device comprises: an imager unit having a certain field of view and configured to collect image data, an orientation detection unit configured to provide orientation data of the imager unit with respect to a predetermined plane, a processing unit, and a display unit. The processing unit is configured and operable for: receiving orientation data collected by the orientation detection unit; accessing pre-stored reference orientation data and analyzing said received orientation data with respect to said reference orientation data to determine orientation variation data of the imaging unit; and transmitting data indicative of said orientation variation data to the display unit to thereby initiate displaying of a predetermined geometrical shape indicative of said orientation variation.