Abstract
Abstract: The paper presents a methodology for social distancing detection using deep learning to evaluate the distance between people to mitigate the impact of this coronavirus pandemic To Know Social Distancing is the best possible way to detain the spread of Covid Even though the vaccine has been found and working effectively in saving the lives of people, we use Deep Learning with python to monitor social distancing in public places. This is a software tool that monitors if people are maintaining proper social distancing norms or not by analyzing real-time video streams from a CC camera. We use YOLO Model which is trained by the COCO dataset. The detection tool was developed to alert people to maintain a safe distance from each other by evaluating a video feed. The video frame from the camera was used as input and the open-source object detection
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