A system for monitoring shopping baskets (e.g., baskets on human-propelled carts, motorized carts, or hand-carried baskets) can include a computer vision unit that can image a surveillance region (e.g., an exit to a store), determine whether a basket is empty or loaded with merchandise, and assess a potential for theft of the merchandise. The computer vision unit can include a camera and an image processor programmed to execute a computer vision algorithm to identify shopping baskets and determine a load status of the basket. The computer vision algorithm can comprise a neural network. The system can identify an at least partially loaded shopping basket that is exiting the store, without indicia of having paid for the merchandise, and execute an anti-theft action, e.g., actuating an alarm, notifying store personnel, activating a store surveillance system, activating an anti-theft device associated with the basket (e.g., a locking shopping cart wheel), etc.
SHOPPING BASKET MONITORING USING COMPUTER VISION AND MACHINE LEARNING
EINKAUFSKORBÜBERWACHUNG MITTELS MASCHINELLEM SEHEN UND MASCHINELLEM LERNEN
SURVEILLANCE DE PANIERS D'ACHAT AU MOYEN D'UNE VISION ARTIFICIELLE ET D'UN APPRENTISSAGE MACHINE
2022-06-08
Patent
Electronic Resource
English
Shopping basket monitoring using computer vision and machine learning
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|Shopping basket monitoring using computer vision and machine learning
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|SHOPPING BASKET MONITORING USING COMPUTER VISION AND MACHINE LEARNING
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