{"repo":"vahapogut/Theft-Detection","free":true,"listed":false,"github":"https://github.com/vahapogut/Theft-Detection","clone":"git clone https://github.com/vahapogut/Theft-Detection.git","description":"Real-time AI-powered theft detection system for retail. Detects shoplifting, concealment, and suspicious behavior using YOLOv8 & Computer Vision with a modern web dashboard.","language":"TypeScript","stars":23,"topics":["artificial-intelligence","computer-vision","deep-learning","fastapi","goruntu-isleme","nextjs","opencv","python","security-system","shoplifting-detection"],"license":"MIT","category":"machine-learning","readme_excerpt":"TheftGuard AI - Advanced Anti-Theft AI Security System TheftGuard AI is an advanced, enterprise-grade video surveillance and anti-theft security solution designed for retail spaces, supermarkets, and smart facilities. It utilizes cutting-edge Computer Vision, real-time Pose Estimation, Object Detection, and Facial Recognition algorithms to detect shoplifting, loitering, restricted area intrusions, and fighting. The system leverages optimized, multi-threaded pipelines to analyze concurrent camera feeds (local webcams or RTSP network cameras) synchronously, triggering instant browser-synthesized audio sirens and sending remote alerts via Email and Telegram. Live Demo: theft-detection-dusky.vercel.app --- Premium System Capabilities & Key Features 1. Multi-Threaded Camera Architecture Asynchronous Frame Reading: Captures frames independently via high-performance python threading ( ThreadedCamera ), avoiding sequential frame capture lag or UI freezes. Robust Multi-Camera Tracking: Dynamically resolves tracker ID conflicts across multiple feeds simultaneously by isolating states uniquely using camera-to-person composites (camera id, track id) . 2. Interactive Canvas ROI Drawer HTML5 Canvas Drawing Tool: Draw precise security boundaries (Polygons) overlaying live webcam/RTSP feeds directly inside a glassmorphic dashboard modal. Resolution-Agnostic Scaling: Autonomously maps client-side mouse vectors into exact 1280x720 surveillance matrix coordinates, preventing scaling discrepanci","default_branch":null,"files":null,"tree":[],"storefront":"/r/vahapogut","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/vahapogut/Theft-Detection/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}