Monitoring Social Distancing Using People Detection (Part -II)

Continuing from my previous article where I explained the theoretical part of our object detection model, here I will explain how to actually implement our social distance monitoring tool. As already discussed, we have to first detect people and then use some heuristics on top of that to achieve our goal. For implementing the people detection, we will use Facebook's Detectron library which has all the trained weights for RetinaNet for people detection. After detecting all the people in a given frame, we will use simple pixel distances to calculate how far the person is from another person. After calculating the distance between two people we can put a threshold on that distance to decide if two people are near or far away from each other.