An Automatic Helmet Detection System using Convolution Neural Network

Abstract

Applications for automatic licence plate identification and helmet detection are most useful on busy highways where accidents are more often. Although the government has adopted a number of restrictions, the motorcycle riders haven't been following them very well, necessitating the use of several cunning strategies. Today, it is difficult to distinguish between helmeted and non-helmeted motorcyclists, thus new technology is required to do so as well as to read the rider's licence plate. It aids in accident prevention and increases people's mental alertness. In this study, CNN machine learning set of rules are used to create automatic helmet identification and automatic licence plate recognition applications. faster CNN algorithm is utilised to find the helmet.