An Efficient Safety and Authorized Helmet Detection Using Deep Learning Approach

In recent years, riding a motorcycle has become one of the most convenient ways for consumers to go to their destination. Helmets are very important and necessary for the safety of motorcyclists, however, officers find it difficult to enforce the laws regarding the wearing of authorized helmets. This system was established to determine whether or not a helmet is allowed. The authorized helmet for riders is the full-face helmet. This vision-based system could aid in identifying riders who are wearing helmets that aren't fitting properly. The system used the YOLOv3 model and a deep learning approach to use the helmet detection model in this work. As a result, the model with the best training received an mAP of 97%. This proposed device may be used on busy routes to monitor motorcyclists to see if they are wearing an authorized helmet.