Smart Traffic Monitoring and Safety Enforcement

Road safety is a significant concern in countries with high usage of two-wheeler vehicles.Failure to wear helmets and violation of traffic rules contribute heavily to accidents and fatalities.Manual monitoring of such violations is inefficient and error-prone.This paper proposes a smart Helmet and Number Plate Detection System using deep learning techniques.The system applies YOLO-based object detection for real-time helmet recognition and Optical Character Recognition (OCR) for number plate identification.Once a helmet violation is detected, the system automatically extracts the vehicle's license plate and stores the details in a database for enforcement.Experimental results show high detection accuracy, demonstrating the system's potential in automated traffic law enforcement and intelligent transportation systems.