Volume 11 Issue 2 ( June )

The presented model is a concatenation of multitudinous problems of human safety either regarding tO health or traffic. Moreover, it gives a solution to avert any accidents or health issue problems like Corona Virus. In current scenarios people are trying to avoid safety measures which in turn results in ma- jor casualty or their deaths. Therefore, it is highly stipulated to adopt the ad- vanced traffic management system, which includes seat belt, helmet and mask detection. The proposed model is designed in such a manner that it is capable of detecting seat belt, helmet and mask using OpenCV (Open-Source Computer Vision Library) and deep learning algorithms at the same time remotely. The system proffered here can be operated automatically and manually both, de- pends on the condition. It obligates everyone on the road to wear seat belt, hel- met and mask to avoid any casualty or deaths due to accidents and corona virus. The interpreted process also enables to detect the mask of all the pedestrians on the road. The whole system is processed by the help of a high-end quadcopter camera which is flying at a particular height. In this paper we solved the prob- lem of traffic surveillance system and criminal activity tracing by making it op- eratable from a single point. Furthermore, these activities are recorded in the highly secured control rooms database, which operate multiple drones at a time. These databases are only accessed by the higher government officials for secu- rity purposes whenever they want to avoid any accidents and to punish the law breakers for public safety.

Keywords: Seat Belt, Helmet, Mask, Deep Learning, Quadcopter Drone, Traffic