Helmet Wearing Detection for Riders Safety

Abstract

The main purpose of paper is to find riders who neglect road safety, which leads to accidents and death. Thus most of the countries mandate the use of the helmets for two-wheeler riders. In order to discourage this behavior police force has been made for traffic to issue violation ticket. This process will be done manual, time consuming and very tedious. Hence proposed system will detect riders who wear the helmet while riding the motor vehicle and helps in finding riders without helmet to get imposed with fine. The system implements machine learning and image processing techniques to detect riders, riding two-wheeler, who are wearing helmets. The system takes a video of real time as the input and detects moving objects in the scene. The SIFT and SURF algorithm is used for detecting the helmet in the real time video, surf is faster than the sift algorithm in the machine learning and it is more efficient to detect the helmet object. Further, practically can be implemented in traffic intersections to monitor the rider’s safety by detecting helmet.