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Case study

Real-Time Multi-Object Detection & Tracking

Real-time object detection and tracking system with 95% accuracy

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Overview

Advanced computer vision system capable of detecting and tracking 80+ object classes in real-time with 95% accuracy at 30 FPS. Features include object counting, speed estimation, and behavior analysis. Deployed in retail analytics, security surveillance, and autonomous vehicle applications.

Technology

YOLOv5 · PyTorch · OpenCV · TensorRT · CUDA · Python