AI Red Light Traffic Violation Detection System
Project Overview
An automated real-time computer vision system that monitors traffic intersections, detects vehicles crossing red signals, captures license plate evidence, and logs violation records.
The Challenge
Accurately synchronizing vehicle bounding boxes with dynamic traffic light signal state changes in varying weather and lighting conditions.
The Solution
Employed multi-task deep learning models combining traffic light phase classification with vehicle trajectory tracking and automated challan generation.
Client Rating
4.9
Key Results
98.2% violation detection accuracy.
Automated digital challan issuance and evidence archiving.
Technology & Skills
Computer VisionYOLOv8Deep LearningTraffic Safety