Personal-Protective-Gear-Surveillance-System
In this present world where a great pandemic is going on which is spreading rapidly from one man to another man at present more than 88,668,711 people are currently infected and including 1,884,341 deaths the of the infection is increasing day by day the infected rate is increasing .In average .. people are effected by this virous and many well developed countries like USA, England are facing huge problems to maintain the infected rete in control. But matter to be noted that developing countries like Bangladesh ,India, Pakistan where the population is far more than the developed country where people live by day to day earning, It is not quaite possible to keep people inside their house. Keeping those thing in our mind we tried to developed a surveillance system that are trained in image using effective algorithm like YOLOv4 ,mobilenetV2,YOLO-tiny(ligh weight also mobile detection supported) with mask , with out mask ,gloves on face shield and PPE(personal protective equivalents ) monitor general people in public places also notify not only that also count the actual detection and take picture of those people who is not wearing mask properly or on mask at all we also use deepsort method to count the the actual number of the detection and store it in for farther statistical analysis
