ELECTRONIC SHELF LABELS AND RETAIL STORE INTEGRATION

• Main Authors: Zalewski, Gary M, Penilla, Albert S
• Format: Patent
• Language: English
• Published: 08.08.2024
• Subjects: CALCULATING; CHECKING-DEVICES; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

A method for providing real-time recommendations to user in a shopping environment involves sampling a shopping environment using video cameras to generate video features related to a shopper in connection to an item, the sampling input to a machine learning model to create labels related to a state of a scenario, the scenario including the shopper handling the item. Supplemental information is provided to the shopper in connection with the item. The makeup of the supplemental information may be sourced from online service or device associated with the shopper. The supplemental information may be delivered to the shopper, or to a shopper-aware display in the store, or elsewhere. A processing entity associated with the store detects a scenario to identify the shopper as having finished shopping, and causing a charge of the item to a cashierless shopping cart associated with the shopper. In one example, passive, wireless weight sensors may be used to supplement input features for inferences made by the machine learning model. In another example, wireless, battery-free displays may be coupled to shelves to provide information related to supplemental information relating the item held by the shopper.