Image-based Seat Belt Fastness Detection using Deep Learning

The detection of seat belts is an essential aspect vehicle safety. It crucial in providing protection the event accident. Seat belt devices are installed into many automobiles, although they may be easily manipulated or disregarded. As a result, existing approaches and algorithms for insufficient. Using various external methods algorithms, it required to determine if fastened not. This paper proposes approach identify fastness using concepts image processing deep learning. Our proposed can deployed any organizational setup aid concerned authorities identifying whether not drivers vehicles passing through entrance have buckled their up. If detected vehicle, number plate recognition module records number. might use this record take further necessary actions. way, organization keep track all entering premises ensure that drivers/shotgun passengers wearing belts.