19c96fd517d854497e8-3555 20220202043906735 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 01 30 2022 10 5 Department of Information Technology, MVSR Engineering College, Osmania University, Hyderabad (Telangana), India. Manthri Sriharsha Sowjanya Jindam Department of Information Technology, MVSR Engineering College, Osmania University, Hyderabad (Telangana), India. Akhila Gandla Department of Information Technology, MVSR Engineering College, Osmania University, Hyderabad (Telangana), India. Lalith Sai Allani Department of Information Technology, MVSR Engineering College, Osmania University, Hyderabad (Telangana), India. 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. 01 30 2022 146 149 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6710.0110522 https://www.ijrte.org/portfolio-item/e67100110522/