Shopping basket monitoring using computer vision and machine learning

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...

Full description

Saved in:
Bibliographic Details
Main Authors RAMANATHAN, Narayanan V, HARLING, Robert M, CARTER, Scott J, JOHNSON, Jack L, HANNAH, Stephen E, JAMES, Jesse M
Format Patent
LanguageEnglish
Published 04.05.2023
Subjects
ALARM SYSTEMS
CALCULATING
COMPUTING
COUNTING
HAND-PROPELLED VEHICLES, e.g. HAND CARTS, PERAMBULATORS
LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
ORDER TELEGRAPHS
PERFORMING OPERATIONS
PHYSICS
SIGNALLING
SIGNALLING OR CALLING SYSTEMS
SLEDGES
TRANSPORTING
Online AccessGet full text

Cover

More Information
Summary: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.
Bibliography:Application Number: AU20230201924