Alif1642/ai-traffic-violation-detection

Create a digital-twin style traffic visualization using only mp4 CCTV footage and its Google Maps location.

AI-powered traffic intelligence platform for real-time vehicle analytics, congestion prediction, and smart urban mobility systems.

Computer Vision pipeline that tracks vehicles and people in traffic footage and reports counts + congestion level.

[CVPR 2021] SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events

Machine learning and Structure-from-Motion tools for estimating vehicle speed from imagery for traffic monitoring, road safety, and autonomous systems research.

🚀 Extract and analyze high-accuracy georeferenced vehicle trajectories from bird's-eye-view aerial video using computer vision and deep learning, for scalable urban traffic analysis.

This project performs real-time driving action prediction from car dashcam video by combining YOLOv11 for object detection, ByteTrack for multi-object tracking, and Depth Anything V2 for depth estimation.