Person Detection for Social Distancing and Safety Violation

Abstract

As today the planet is facing a sever surge within the covid-19 spread thisoften happened thanks to people not following the most preventive measures like Sporting mask, maintain social distance and sanitizing the hands and objects regularly. The paper suggest how for social distancing detection using open cv and Machine learning to calculate the space between the people and to scale back the spread of corona virus. Corona virus. This detection device was developed to seem at the social distancing in crowded areas and alert if particular distance between the people is maintained this is often achieved by using input as a video from a live camera using YOLOv3 .This machine includes numerous modules like object detection, Video capture module, distance calculation, and communicate modules, those had been want to save people from not maintain social distancingKeywords: Covid-19, Machine Learning, YOLOv3, video capture module, speak module