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I developed a computer vision project that measures the distance between people to check whether a specific distance exists between them or not.

License: MIT License

Python 100.00%
social-distancing covid-19 computer-vision opencv tensorflow ai python covid19 deep-learning coronavirus caffe ssd object-detection social-distancing-detection social-distance-monitoring

social_distancing-cv's Introduction

REFERENCES

https://www.pyimagesearch.com/2017/09/11/object-detection-with-deep-learning-and-opencv/

https://docs.opencv.org/4.3.0/d6/d0f/group__dnn.html

https://www.ebenezertechs.com/mobilenet-ssd-using-opencv-3-4-1-deep-learning-module-python/

https://www.pyimagesearch.com/2020/06/01/opencv-social-distancing-detector/

CLAHE Paper : https://ieeexplore.ieee.org/document/6968381

Social Distancing Algorithm Social Distancing is a method that used to control epidemic diseases. For COVID-19, we are using social distancing to protect us. This algorithm calculates distances between people and draw different colors of bounding boxes for three risk degree. When this project were created, this references above used. Used SSD-MobileNet model for object detection. For better detection for bad visibility areas, i added CLAHE preprocessing method.

I am improving this algorithm for better detection and better distance measurement.

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