European Journal of Molecular & Clinical Medicine

Motorcycle accidents are growing throughout the years in all the countries, as there is difference in social, economical and the transport conditions differs from place to place. Motorcycle is one of the prominent means of transport used by middle class people. Wearing helmet is the main safety equipment of motorcyclists, which might not be followed by all drivers . Adults people doesn’t take proper precaution safety riding take over speed, and triple riding. Accident of a motorcyclist is serious issue on society the structural support that a car does to keep drivers safe and protected. Even when a rider takes all possible precautions, accidents resulting in injury still occur .The primary objective of a helmet is to protect the driver’s head in case of an accident or fall from a bike. Now a days use of helmets is low and many people does not follow traffic rules like triple riding .The proposed project helps to identify whether motorcyclists wear safety harnesses that is helmets while driving or not and maintain proper rules on triple riding.

Road incidents are among the significant reasons, for the human passing. The majority of the passings in mishaps are because of harm to the top of the bike riders. Among the various sorts of street mishaps, bike mishaps are normal and cause extreme wounds. To reduce the involved risk for the motorcycle riders it is exceptionally fascinating to utilize helmet. The helmet is the motorcyclist's primary security. Many countries require the utilization of caps by motorcyclists, however numerous individuals neglect to comply with the law for different reasons. We present the advancement of a framework utilizing profound convolutional neural networks, (CNNs) for discovering bikers who are disregarding cap rules. The system involves motorcycle, detection, helmet, vs. no-helmet, classification, and method counting. Faster R-CNN with ResNet 50 network, model is implementing for motorcycle detector process. CNN classification model proposes for classify the helmet vs. no-helmet. Finally making alarm sound to alert the officer too preventing motorcycle accident. We assess the framework as far as accuracy and speed.