Smart Shoplifting Detection System

AI Security Application

About the Project.

A real-time surveillance system that uses YOLOv11 and YOLOv11 PoseNet with XGBoost to detect shoplifting behavior. When potential theft is identified, the system triggers an audible alarm and sends detailed email reports with visual evidence to store management. Features multi-person tracking and behavior pattern analysis to reduce false positives.

Category

AI Security Application

Date

2024-06-22

Technologies

PythonYOLOv11YOLOv11 PoseNetXGBoostOpenCVSMTP (Email)Audio Alert SystemCustom Behavior DatasetMulti-Object TrackingPose EstimationRetail Analytics

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