The helmet violation detection system automatically identifies two-wheeler riders who are not wearing a helmet, enhancing safety enforcement on roads. Using advanced video analytics and AI-based object recognition, the system continuously monitors riders and detects non-compliance with helmet-wearing regulations in real time.

When a violation is identified, the system captures the vehicle’s number plate (when visible) and links it to the incident. It also compiles high-quality evidence frames showing the rider without a helmet, ensuring reliable proof for traffic authorities.

This automated solution helps improve road safety, reduce manual monitoring efforts, and support efficient, technology-driven enforcement of helmet laws.