• Ayush Prasad Gupta
• Akash Pandey
• Shubham Dey
• Manoj D.E
• Dr. MK Jayanthi Kannan

Social Distancing is the best possible way to detain the spread of Covid-19. Even though vaccine has been found and working effectively in saving the lives of people, social distancing is necessary to reduce the spread of virus to maximum extent which not only saves people from being infected but also reduces the impact of spreading of the disease. In our proposed system, we use Deep Learning with python to monitor social distancing in public places. This is a software tool that monitor if people are maintaining proper social distancing norms or not by analyzing real time video streams from CC camera. We use YOLO Model which is trained by COCO dataset.

Social Distancing, Deep Learning, OpenCV, Object detection, Covid-19, YOLO-You Only Look Once, COCO-Common Objects in Context.

"Social Distance Violation System Using OpenCV, Yolo Algorithm And COCO Dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.h934-h939, May-2023, Available :http://www.jetir.org/papers/JETIR2305821.pdf

"Social Distance Violation System Using OpenCV, Yolo Algorithm And COCO Dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pph934-h939, May-2023, Available at : http://www.jetir.org/papers/JETIR2305821.pdf