SOCIAL DISTANCE DETECTION USING YOLOV3 ALGORITHM

As nowadays we all are aware of a deadly virus named corona, after the evolution of such virus the world had changed in many accepts. It belongs to the family of the communicable disease, such a way that the effect of it will be more, there is no proper vaccine for it. Maintaining social distance place, a major role in decreasing the effect of it. The main aim, of our project is to detect whether a person is maintaining social distance or not in a particular area. To do this work it requires a lot of people and even it may not be accurate. In our project the input is a video signal and it converts the given video into frame and detects the social distance between people. The distance we should be given as a fixed value to take as reference. In output we will get the frames with red color bounding boxes and green color bounding boxes, whereas the red one indicates the object present in it is not maintaining social distance, where the object present in green box is maintaining social distance.