Abstract: A method for forgoing image processing in response to infrared data analysis may include receiving infrared input data captured using one or more infrared sensors; analyzing the infrared input data to detect a presence of an object in an environment of a retail shelf; in response to no detected presence of an object in the environment of the retail unit, analyzing at least one image of the retail shelf captured using at least one image sensor; and in response to a detection of presence of an object in the environment of the retail unit, forgoing analyzing the at least one image of the retail shelf captured using the at least one image sensor.

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 updating virtual shopping carts of shoppers with pay-by-weight products is disclosed. The system has a processor that receive images captured by image sensors. The images depict product interactions between a store associate and shoppers. Each product interaction involves a pay by weight product. The processor analyzes the images to identify the product interactions and associates the pay by weight product involved with each product interaction with a particular shopper among the shoppers. The processor provides a notification to the store associate requesting supplemental information for associating the pay by weight product with the particular shopper. The processor receives the requested supplemental information and uses the analysis of the images and the requested supplemental information to determine the association of the pay by weight product with the particular shopper. The processor also updates a virtual shopping cart of the particular shopper with the pay by weight product.

Abstract: A method for automatically updating a plurality of virtual shopping carts, includes receiving image data captured in a retail store, wherein a first shopping receptacle and a second shopping receptacle are represented in the received image data, determining that the first shopping receptacle is associated with a first virtual shopping cart and that the second shopping receptacle is associated with a second virtual shopping cart different from the first virtual shopping cart, analyzing the received image data to detect a shopper placing a first product in the first shopping receptacle and to detect the shopper placing a second product in the second shopping receptacle, automatically updating the first virtual shopping cart to include information associated with the first product, and automatically updating the second virtual shopping cart to include information associated with the second product.

Abstract: Methods, systems, and computer-readable media are provided for controlling a detail level of shopping data provided to frictionless shoppers. In one implementation, a method may comprise: receiving image data captured using one or more image sensors in a retail store; analyzing the image data to detect a shopper in the retail store; determining a likelihood that the shopper will be involved in shoplifting; controlling a detail level associated with frictionless shopping data provided to the shopper based on the determined likelihood that the shopper will be involved in shoplifting.

Abstract: A system for determining whether shoppers are eligible for frictionless checkout is disclosed. The system has a processor that obtains image data captured using image sensors positioned in a retail store. The processor analyzes the image data to identify at least one shopper at one or more locations of the retail store. The processor detects, based on the analysis of the image data, at least one product interaction event associated with an action of the at least one shopper at the one or more locations of the retail store. Further, based on the detected at least one product interaction event, the processor determines whether the at least one shopper is eligible for frictionless checkout. In response to a determination that the at least one shopper is ineligible for frictionless checkout, the processor causes delivery of an indicator that the at least one shopper is ineligible for frictionless checkout.

Abstract: Methods, systems, and computer-readable media are provided for providing a visual indicator indicative of a frictionless checkout status of at least a portion of a retail shelf. In one implementation, a method may comprise: receiving an output from one or more retail store sensors; based on the output from the one or more retail store sensors, determining a frictionless checkout eligibility status associated with the at least a portion of the retail shelf, wherein the frictionless checkout eligibility status is indicative of whether the at least a portion of the retail shelf includes one or more items eligible for frictionless checkout; and causing a display of an automatically generated visual indicator indicating the frictionless checkout eligibility status associated with the at least a portion of the retail shelf.

Abstract: Methods, systems, and computer-readable media are provided for controlling a detail level of shopping data provided to frictionless shoppers. In one implementation, a method may comprise: receiving image data captured using one or more image sensors in a retail store; analyzing the image data to identify a plurality of product interaction events for at least one shopper in the retail store; determining shopping data associated with the plurality of product interaction events; determining a likelihood that the at least one shopper will be involved in shoplifting; based on the determined likelihood, determining an update rate for updating the at least one shopper with the shopping data; and delivering the shopping data to the at least one shopper at the determined update rate.

Abstract: Methods, systems, and computer-readable media are provided for tracking frictionless shopping eligibility relative to individual shopping receptacles.

Abstract: A method for identifying products removed from bulk packaging includes receiving one or more images acquired by a camera arranged to capture interactions between a shopper and one or more bulk packages each configured to contain a plurality of products, analyzing the one or more images to identify the shopper and a particular bulk package among the one or more bulk packages with which the identified shopper interacted, receiving an output from at least one sensor configured to monitor changes associated with the particular bulk package, analyzing the output to determine a quantity of products removed from the particular bulk package by the identified shopper, and updating a virtual shopping cart associated with the identified shopper to include the determined quantity of products and an indication of a product type associated with the particular bulk package.

Abstract: A method for using an electronic shopping list to resolve ambiguity associated with a selected product may include accessing an electronic shopping list associated with a customer of a retail store; receiving image data captured using one or more image sensors in the retail store; analyzing the image data to detect a product selection event involving a shopper; identifying a product associated with the detected product selection event based on analysis of the image data and further based on the electronic shopping list; and in response to identification of the product, updating a virtual shopping cart associated with the shopper.

Abstract: A method for automatically updating electronic shopping lists of customers of retail stores may include accessing an electronic shopping list of a customer of a retail store, the electronic shopping list including at least one product associated with a shopping order; receiving image data from a plurality of image sensors mounted in the retail store; analyzing the image data to predict an inventory shortage of the at least one product included on the electronic shopping list, wherein the predicted inventory shortage is expected to occur prior to fulfillment of the shopping order; and automatically updating the electronic shopping list based on the predicted inventory shortage of the at least one product.

Abstract: A method for addressing a shopper's eligibility for frictionless checkout may include identifying at least one shopper in a retail store designated as not eligible for frictionless checkout; in response to the identification of the at least one shopper designated as not eligible for frictionless checkout, automatically identifying an ineligibility condition associated with the at least one shopper's designation as not eligible for frictionless checkout; determining one or more actions for resolving the ineligibility condition; causing implementation of the one or more actions for resolving the ineligibility condition; receiving an indication of successful completion of the one or more actions; and in response to receipt of the indication of successful completion of the one more actions, generating a status indicator indicating that the at least one shopper is eligible for frictionless checkout and storing the generated status indicator in a memory.

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 processing images captured in a retail store and automatically identifying products displayed on shelving units, includes at least one processor configured to: receive a first image depicting a shelving unit with a plurality of products of differing product types displayed thereon and a first plurality of labels coupled to the shelving unit; receive a set of second images depicting a second plurality of labels; correlate a first label depiction of a specific label included in the first image to a second label depiction of the same specific label included in a second image; use information derived from the second label depiction to determine a type of products displayed in the first image in proximity to the specific label; and initiate an action based on the determined type of products displayed in proximity to the specific label.

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 non-transitory computer-readable medium includes instructions that when executed by a processor cause the processor to perform a method for selecting available assignments for users based on mobile computing devices of the user. The method includes receiving an indication of at least one parameter of a mobile computing device associated with a user; accessing a plurality of available assignments, each assignment of the plurality of available assignments involving use of at least one mobile computing device; based on the at least one parameter of the mobile computing device associated with the user, selecting a subset of the plurality of available assignments; and offering the selected subset of the plurality of available assignments to the user.

Abstract: A non-transitory computer-readable medium includes instructions that when executed by a processor cause the processor to perform a method for assessing quality of tasks performed by persons in retail stores. The method may include receiving an indication that a person completed a task corresponding to at least one shelf in a retail store. The method may also include receiving at least one image of the at least one shelf, the at least one image being captured using an image sensor after the completion of the task. The method may further include analyzing the at least one image to determine at least one property associated with performing the task. The method may further also using the at least one property to determine a reward for performing the task.

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 non-transitory computer-readable medium includes instructions that when executed by a processor cause the processor to perform a method for selecting available assignments, the method including: receiving an indication of an external assignment, wherein the external assignment is associated with one or more locations external to a plurality of retail stores; based on the indication of the external assignment, selecting a retail store among the plurality of retail stores; based on the selected retail store, selecting at least one available assignment in the selected retail store; and offering the selected at least one available assignment in the selected retail store to a user.