Abstract: A system for automatically determining relationships between products and shelf labels in a retail store is disclosed. The system has a processor that receives images of a shelf captured over a period of time by an image sensor. The images depict shelf labels and groups of products associated with different product types. The processor identifies temporal changes in an arrangement of the groups of products, which are arranged in a first and second manner at a first and second point in time, respectively. The processor also identifies temporal changes in display of the plurality of shelf labels, which are displayed on the shelf in a first and second manner and at the first and second point in time, respectively. The processor determines a relationship between a specific group of products and a specific shelf label based on the temporal changes and initiates an action based on the relationship.

Abstract: A system for processing images may include a processor configured to receive one or more images captured in a retail store and depicting a plurality of products displayed on at least one store shelf. The processor may also be configured to analyze the one or more images to determine at least one task associated with a store shelf. The processor may further be configured to determine an incentive for completing the at least one task based on a property of the store shelf, wherein the incentive is intended for a non-employee individual associated with the retail store. The processor may also be configured to provide an offer to at least one individual non-employee individual associated with the retail store, the offer including receiving the incentive in response to completing the at least one task.

Abstract: A system for processing images captured in a retail store and automatically generating low-stock alerts includes at least one processor configured to: receive image data associated with images captured during a first period of time by one or more image capturing devices mounted in the retail store; analyze the image data to identify a restocking event, at least one facing event, and a low-stock event; determine a demand pattern for products from the specific product type based on the identified restocking event, the at least one facing event, and the low-stock event; receive additional image data associated with images captured during a second period of time, subsequent to the low-stock event; based on the additional image data and the determined demand pattern, predict when a next low-stock event will occur; and generate an alert associated with the predicted next low-stock event.

Abstract: Systems and methods for automatically determining options for store execution based on shelf capacity are provided. In one implementation, at least one processor is configured to receive a set of images depicting a first plurality of products from a particular product type displayed on a shelving unit in a retail store; analyze the set of images to identify a portion of the shelving unit associated with the particular product type; determine a product capacity for the portion of the shelving unit; access stored data about a second plurality of products from the particular product type, wherein each of the second plurality of products is located separately from the shelving unit; use the product capacity for the portion of the shelving unit and the accessed data to generate a suggestion for improving store execution; and provide the at least one suggestion for improving store execution.

Abstract: A method for identifying perishable products in a retail store and for automatically generating offers relating to the identified products is provided. The method may include receiving a set of images depicting perishable products of at least one product type displayed on at least one shelving unit in a retail store. The method may also include analyzing the set of images to determine information about a displayed inventory of the perishable products. The method may further include accessing a database storing information about the at least one product type. The method may also include using the information about the displayed inventory and the stored information about the at least one product type to determine at least one offer associated with the at least one product type. The method may further include providing the at least one offer to at least one customer of the retail store.

Abstract: A system for automatically identifying situations to withhold planogram incompliance notifications in a retail store is disclosed. The system has a processor that receives image data depicting products displayed on a store shelf from image sensors mounted in the retail store. The processor identifies a product type associated with the displayed products and determines a placement of products of that product type on the shelf. The processor accesses a planogram describing a desired placement of products and identifies, based on the planogram, a discrepancy between the determined placement of products and the desired placement of product. The processor determines whether a notice-override condition exists. If a notice-override condition exists, the processor, withholds issuance of a user-notification associated with the identified discrepancy. If a notice-override condition does not exist, the processor issues the user-notification associated with the identified discrepancy.

Abstract: A method may include analyzing first images to determine an actual placement of first products displayed on shelves of a retail store; determining a deviation of an actual placement of some of the first products from the desired placement of products associated with a first planogram; receiving second images; analyzing the second images to determine an actual placement of the second products displayed on the shelves; identifying a deviation of the actual placement of some of the second products from the desired placement of products associated with the first planogram; using the second planogram to determine whether an arrangement associated with a second products conforms to the second planogram rather than to the first planogram; and when the arrangement associated with the second products conforms to the second planogram, withholding issuance of a notification indicating a deviation relative to the first planogram.

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: 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 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 monitoring planogram compliance on a store shelf is disclosed. The system may include a plurality of detection sensors and a processor. The processor may be configured to receive first signals from a first subset of detection sensors 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 sensors 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 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 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: 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 monitoring planogram compliance on a store shelf is disclosed. The system may include a plurality of detection sensors and a processor. The processor may be configured to receive first signals from a first subset of detection sensors 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 sensors 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 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 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: 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 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 reducing product shortage durations in retail stores based on analysis of image data is provided. The system may comprise: a communication interface configured to receive image data from retail stores indicative of a product shortage of a product type relative to information describing a placement of products of a product type on a store shelf; and at least one processor configured to: analyze the image data to detect occurrences of product shortages of the product type in the retail stores and determine durations associated with the occurrences; identify a common factor contributing to the duration of part of the occurrences of the product shortages; determine an action, associated with the at least one common factor, for potentially reducing product shortage durations of future shortages of the product type in the retail stores; and provide information associated with the identified action to an entity.