Trax Technology Solutions Pte Ltd.

A method for image processing based on image data analysis may include mounting on a first retail shelving unit a first housing comprising an image capture device that is directed to a second retail shelving unit. A second housing comprising a processor is also mounted on the first retail shelving unit at location spaced apart from the first housing. A data conduit is extended between the first housing and second housing, wherein images captured by the image capture device in the first housing are transmitted to the second housing. At least some of the captured images are then transmitted from the second housing to a remote server configured to determine planogram compliance relative to the second retail shelving unit.

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.

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 based on the identification of the product, updating a virtual shopping cart associated with the shopper.

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.

Systems and methods are provided for triggering actions in response to point of sales data. The systems and methods may comprise obtaining point of sale data from a retail store; analyzing the point of sale data to identify at least one anomalous transaction; in response to the identified at least one anomalous transaction, providing information configured to cause capturing of image data from the retail store; analyzing the image data relating to the at least one anomalous transaction to determine at least one condition associated with the at least one anomalous transaction in the retail store; and based on the analyzed image data relating to the at least one anomalous transaction, generating an indicator associated with the at least one condition.

Methods, systems, and computer-readable media are provided for selecting items for presentation on electronic visual displays in retail stores. In one implementation, a method may comprise: obtaining a plurality of images of products in a retail store; analyzing a first image to determine whether products of a particular product type are available at a first point in time; analyzing a second image to determine whether products of the particular product type are available at a second point in time; and based on the determination of whether products of the particular product type are available at the first point in time and the determination of whether products of the particular product type are available at the second point in time, selecting whether to display a particular item on an electronic visual display in the retail store.

Methods, systems, and computer-readable media are provided for providing information on electronic visual displays in retail stores. In one implementation, a door for a retail storage container may include one or more electronic visual displays. In one implementation, the electronic visual display may be connected to a shelf in the retail store. In one implementation, an image of products in a retail store captured using at least one image sensor may be obtained, and the image may be analyzed to determine a condition of products of a particular product type. Further, based on the determined condition of the products of the particular product type, at least one display parameter may be selected for a particular item, and the selected at least one display parameter may be used to display the particular item on an electronic visual display in the retail store.

Preferred embodiments of the present disclosure comprise at least one image of a product captured using at least one image sensor in a retail store. The at least one image may be read from memory, may be received from an external device, or may be captured using the at least one image sensor. The at least one image may be analyzed to attempt to automatically recognize the product, thereby obtaining a confidence level associated with the attempted automatic recognize. Based on the confidence level, a scheme for product recognition may be selected of a plurality of alternative schemes. The selected scheme may be applied to obtain a product type associated with the product. An action may be performed based on the obtained product type.

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.

A method for triggering image processing based on vibration data analysis may include receiving vibration data captured using a vibration sensor mounted to a shelving unit including; analyzing the vibration data to determine whether a vibration is a result of an engagement of a person with a retail shelf; in response to a determination that the vibration is the result of the engagement of the person with the retail shelf, triggering analysis of an image of captured after the beginning of the engagement of the person with the retail shelf; in response to a determination that the vibration is not the result of the engagement of the person with the retail shelf, forgoing triggering the analysis of the image; and providing information based on a result of the analysis of the image.