Abstract: A non-transitory computer-readable medium includes instructions, when executed by a processor, causing the processor to perform a method for reacting to changes of items hanging on peg-hooks connected to pegboards. The method may include: determining a location of a store shelf within a retail store; obtaining a first coverage parameter corresponding to a first product type and a second coverage parameter corresponding to a second product type; accessing a database to determine a first height of products of the first product type and a second height of products of the second product type; determining a position for placing a camera configured to capture images of at least a portion of the store shelf by analyzing the location of the store shelf, the first coverage parameter, the second coverage parameter, the first height, and the second height; and providing, to a user interface of a user device, information relating to the determined position of the camera.

Abstract: A non-transitory computer-readable medium includes instructions that when executed by a processor cause the processor to perform a method for identifying products from on-shelf sensors and image data. The method may include receiving data captured using a plurality of sensors positioned between at least part of a retail shelf and one or more products placed on the at least part of the retail shelf. The method may also include receiving an image of the at least part of the retail shelf and at least one of the one or more products. The method may also include analyzing the captured data and the image to determine a product type of the one or more products.

Abstract: A method for routing a cleaning robot may include receiving an indication of a store shelf of a retail store and causing a first adjustment to a cleaning robot route of a cleaning robot within the retail store based on a location within the retail store corresponding to the store shelf. The first adjustment may be configured to enable an image sensor associated with the cleaning robot to capture images of at least one portion of the store shelf. The method may also include receiving a first image of the store shelf and analyzing the first image to determine a need for a second image of the store shelf. The method may further include, in response to the determined need, causing a second adjustment to the cleaning robot route within the retail store, which may enable the image sensor to capture the second image of the store shelf.

Abstract: A system for making gradual adjustments to planograms may include at least one processor. The processor may be programmed to receive a first image of a shelf; analyze the first image to determine a first placement of products on the shelf; determine a planned first adjustment to the first placement of products; and provide first information configured to cause the planned first adjustment. The processor may then receive a second image of the shelf captured after the first information was provided; analyze the second image to determine a second placement of products on the shelf; determine a planned second adjustment to the second placement of products; and provide second information configured to cause the planned second adjustment to the determined second placement of products.

Abstract: A system for making gradual adjustments to planograms may include at least one processor. The processor may be programmed to receive a first image of a shelf; analyze the first image to determine a first placement of products on the shelf; determine a planned first adjustment to the first placement of products; generate first instructions to implement the planned first adjustment; receive a second image of the shelf captured after the first instructions were generated; analyze the second image to determine a second placement of products on the shelf resulting from the planned first adjustment; receive an indication of an impact of the second placement of products; determine a planned second adjustment to the second placement of products based on the impact; and generate second instructions to implement the planned second adjustment.

Abstract: A method for planning deployment of image sensors may include determining a location of a store shelf within a retail store and obtaining a first coverage parameter corresponding to a first product type and a second coverage parameter corresponding to a second product type. The method may also include accessing a database to determine a first height of products of the first product type and a second height of products of the second product type, and determining a position for placing a camera configured to capture images of at least a portion of the store shelf by analyzing the location of the store shelf, the first coverage parameter, the second coverage parameter, the first height, and the second height. The method may further include providing, to a user interface of a user device, information relating to the determined position of the camera.

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 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: The present disclosure relates to systems and methods for identifying products and monitoring planogram compliance using analysis of image data. In one implementation, the method may include accessing at least one planogram describing a desired placement of a plurality of product types on shelves of a plurality of retail stores; receiving image data from the plurality of retail stores; analyzing the image data to determine an actual placement of the plurality of product types on the shelves of the plurality of retail stores; determining at least one characteristic of planogram compliance based on detected differences between the at least one planogram and the actual placement of the plurality of product types on the shelves of the plurality of retail stores; and receiving checkout data from the plurality of retail stores reflecting sales of at least one product type from the plurality of product types.

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: 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: The invention relates to systems, methods and computer-readable medium for handling email communications. A system includes server(s) configured to execute a recipient registration and profile maintenance component that stores recipient registration details including a recipient-required donation amount; an email processing component that (a) receives an email message, (b) determines a sender key representing a sender of the email message, (c) checks the sender key to determine if the sender is recipient-approved, (d) stores the email message in an inbox of the recipient if the sender is recipient-approved, and (e) if the sender is not recipient-approved, stores the email message in a pending donation space of the recipient and emails a donation request to the sender; and a donation confirmation processing component that receives a donation confirmation and stores the email message in a post donation space of the recipient.

Abstract: The invention relates to systems, methods and computer-readable medium for handling email communications. A system includes server(s) configured to execute a recipient registration and profile maintenance component that stores recipient registration details including a recipient-required donation amount; an email processing component that (a) receives an email message, (b) determines a sender key representing a sender of the email message, (c) checks the sender key to determine if the sender is recipient-approved, (d) stores the email message in an inbox of the recipient if the sender is recipient-approved, and (e) if the sender is not recipient-approved, stores the email message in a pending donation space of the recipient and emails a donation request to the sender; and a donation confirmation processing component that receives a donation confirmation and stores the email message in a post donation space of the recipient.

Abstract: A software development platform, used to develop software applications substantially free of the need to write code. The platform includes a visualizable computer executable modeling language for the definition of software solutions. The platform also includes a visual modeling system comprising a visual modeling tool for users to develop software solutions using the modeling language, and a runtime engine software program that automatically executes the defined software solutions.

Abstract: A software development platform, used to develop software applications substantially free of the need to write code. The platform includes a visualizable computer executable modeling language for the definition of software solutions. The platform also includes a visual modeling system comprising a visual modeling tool for users to develop software solutions using the modeling language, and a runtime engine software program that automatically executes the defined software solutions.