Today's unfortunate circumstances due to COVID-19, keeping distance among people is crucial. The goal is to detect people using Deep Learning and find the distance between people to check whether a norm social distance of 6feet or 1.8m is maintained by people.

• Python
• OpenCV
• YoloV3

• Step 1: Find the number of people in the frame/Image.
• Step 2: Creating Bounding Box over the people identified using YOLO.
• Step 3: A width threshold is set for object among which the distance is measured i.e. the width of the people. I am setting width as 27inch or 0.70 meter. Try other values if required.
• Step 4: Mapping the pixels to metric (meter or inches).
• Step 5: Find the distance between, the center point of one person to another person in meters.