Smart Traffic Violation Detection System Using Artificial Intelligence

The proposed AI-based system for helmet detection aims to improve the safety of motorcyclists. The proposed system uses computer vision techniques to analyze images and videos captured by cameras installed on the road, and it detects whether or not a motorcyclist is wearing a helmet. The system utilizes deep learning algorithms to accurately recognize helmets in various lighting conditions and on different types of motorcyclists. The system is trained using a large dataset of labeled images and videos, and it achieves high accuracy in detecting helmets. The proposed system can provide valuable data to law enforcement agencies and transportation engineers to better understand the compliance rate of helmet-wearing laws and to develop more effective strategies for improving motorcycle safety. Moreover, the system can alert motorcyclists who are not wearing helmets and encourage them to wear helmets, which can ultimately reduce the number of fatal motorcycle accidents.