Social distancing, also called “physical distancing,” means keeping a safe space between yourself and other people who are not from your household. To practice social or physical distancing, stay at least 6 feet (about 2 arms' length) from other people who are not from your household in both indoor and outdoor spaces.
To ensure Social Distancing in Public place, I’ll develop a social distancing monitoring tool that will help to see if people are keeping a safe distance or not in real-time. This tool will detect humans from a video source using YOLO and then using OpenCV to show if a person is at Low, High, or Not at Risk.
This Project is an real time application of Computer Vision and is implemented using opencv library in python. To make it better i have used two pre-trained YOLO model for this project.
- yolov3
- yolov3-tiny
YoloV3 outperformed.
| Reference | Link |
|---|---|
| yolov3 | [https://pjreddie.com/darknet/yolo/] |
| opencv | [https://docs.opencv.org/master/d6/d00/tutorial_py_root.html] |
Great!
fork and make a PR 😉.