Automatic Detection Of Helmet For Motorcyclists From Real-time Surveillance Videos Is A Rising Application In Computer Science. Object Detection And Classification Using Deep Learning Was Recently Well-known Over The Years. Researchers Used These Techniques For Solving Several Surveillance-related Problems. Several Deep Learning Models Adopt For Automatic Detection Of Helmet For Motorcyclists But They Cannot Achieve State-of-the-art Results Due To Different Difficulties Such As Low Resolution, Whether Conditions, Occlusion And Illumination Etc. In This Paper, We Proposed A Methodology For Surveillance Video’s Images That Automatically Detect The Helmet Wear By Motorcyclist Or Not And He Is Using Mobile Or Not. For This Purpose, We Used The Faster CNN Model. Mail Will Be Send To The Rules Violators
