Social-DIstancing-Using-Deep-Learning-and-OpenCV
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Published
20 hours ago •
Mayurji
Mayurji
Considering the unfortunate circumstances due to COVID-19 keeping distance from one person to another is crucial.
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.
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
Mayurji