US10510219B1
patent
(57) Devices, systems, and method are provided for identifying actions in a retail store. One method includes sampling a shopping environment using one or more sensors. The method includes receiving output of the sampling as feature inputs to a machine learning classifier model to derive one ormore labels characterizing a state of an item . At least one processing entity associated with the retail store detects the state of the item to change from one as item taken to one as item returned , and sensor data from said one or more sensors characterizing the item as having been returned to a wrong
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