Real-time AI-powered theft detection system for retail. Detects shoplifting, concealment, and suspicious behavior using YOLOv8 & Computer Vision with a modern web dashboard.
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Updated
Feb 7, 2026 - Python
Real-time AI-powered theft detection system for retail. Detects shoplifting, concealment, and suspicious behavior using YOLOv8 & Computer Vision with a modern web dashboard.
GRU Model That uses a sequence of MobileNet Image Features to classify a video clip as class label shoplifting or not shoplifting.
Aisle Guard is a lightweight, end-to-end computer vision system for detecting and logging potential shoplifting events from retail camera footage.
Live-tested farm surveillance system — detects wire tampering in <10s, motor theft in <1s, sends GPS-linked SMS alerts — Patent Filed 202521123445
AI Surveillance PWA for real‑time theft detection using YOLO, OpenCV, Flask, Socket.IO, RTSP recording, and alerting.
👁️ Detect and log potential shoplifting events with Aisle Guard, a lightweight computer vision system for analyzing retail camera footage.
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