Covid-19 protocol breach detection using surveillance cameras

With the pandemic being referred to as Covid-19, the entire planet was paralyzed. During the second wave, people lost their employment, homes, and all of their assets. With the new protocol enacted, social distancing in public areas will help to prevent the transmission of COVID-19. With only 27 percent of India being immunized completely and the vaccines having a lower effectiveness against the new variants, we must ensure that people wear facemasks and maintain a distance of socialization in public areas. In this study, a system that recognizes social distance and wear a mask was constructed using the YOLOv3 algorithm, this algorithm is derived from images of public space CCTV and the system determines if or not the individuals in the photograph are following the social distance. If someone is not following the distance, a screen will appear that shows the distance they’ve traveled. The ResNet50 network is employed to determine the number of individuals who don’t wear masks as well. These outcomes will be relevant to individuals who have a significant role in the situation, these individuals will take action based on the number of criminal actions they’ve perpetrated.