/Social-DIstancing-Using-Deep-Learning-and-OpenCV

Considering the unfortunate circumstances due to COVID-19 keeping distance from one person to another is crucial.

Primary LanguagePython

Social Distancing Using Deep Learning and OpenCV

Objective

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.

Social Distancing

Tool and Libraries

  • Python
  • OpenCV
  • YoloV3

Description

  • 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.

Result

Social Distance