Sighted-Helmet Detection and E-Challan Application

Abstract

Abstract: Helmet detection is a technology that uses computer vision algorithms to automatically detect and identify individuals who are not wearing helmets while riding a two-wheeled vehicle. This technology is often used in conjunction with e-challan systems, which are electronic systems for issuing traffic violations and fines. By combining helmet detection with e-challan, law enforcement officials can more effectively enforce helmet laws and reduce the number of injuries and deaths caused by head injuries in motorcycle accidents. The technology can be used in various forms like CCTV cameras, drones, etc. The Helmet detection algorithm uses deep learning techniques like CNN, YOLOv8 etc to detect and classify the helmets in real-time video feed. We have developed an application “Sighted”, which is used to track the current active challans issued in the name of the owner and easy payment of the fines. The main objective of the system is to identify riders without helmet and issue a challan with an application providing services to track the challan status and payment.