Project Overview
Developed an intelligent system that detects illegal U-turns and identifies traffic violations at intersections by analyzing live video feeds. This solution continuously monitors vehicle movements, flags unauthorized U-turns, and supports authorities in enforcing traffic rules—helping reduce the risk of accidents and ensuring safer intersections.

Technologies Used

• Computer Vision
• Deep Learning (Object Detection & Motion Analysis)
• Video Analytics
• Python, OpenCV, TensorFlow, YOLO

Key Features

• Real-time illegal U-turn detection
• Automated violation alerting and event capture
• Continuous intersection and roadway monitoring
• Integration with existing CCTV systems

Use Cases

• Intersection safety enforcement
• Real-time traffic rule compliance monitoring
• Automated evidence gathering for law enforcement
• Smart city safety reporting and analytics

Project Outcomes

• Fewer traffic violations and reduced accident risks at intersections
• Improved real-time enforcement and violation response
• Accurate, unbiased evidence for legal and safety audits
• Data-driven insights for urban planning

Challenges Overcome

• Differentiating legal vs. illegal U-turns under complex traffic patterns
• Reliable detection across multiple lanes and lighting conditions
• Real-time video processing for high-traffic intersections

Client/Industry

• Urban traffic management authorities
• Law enforcement organizations
• Smart city infrastructure providers

Our Role

• Led end-to-end system design, video analytics development, integration, deployment, and ongoing support