In this project I build a surveilance CCTV cam to track physical distancing in a crowded place, like market, mall, etc that still crowded in the middle of pandemic, so hopefully with this system installed, the police or the guard of the place can easily know if people on that area following the rule or not to set a safe distance between people, so they can take action if there are too much people who violate the rule, because we need to work together to flatten the curve.
english version of video added later
- Download faster rcnn model from TensorFlow Model Zoo here - https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md
- Create new folder called
physicaldistanceon your Drive and move the model there along withsample.mp4from sample directory above - You can directly try to run the
Physical_Distance_Tracker.ipynbon Google Colab - or You can playing arround with warped view code in
transform.pyand selecting threshold/safe distance code inpoints distance.py
You can watch this video for more technical guide
english version of video added later
- Physical Distancing Tracker by Landing AI - https://landing.ai/landing-ai-creates-an-ai-tool-to-help-customers-monitor-social-distancing-in-the-workplace
- Real Time Human Detection using TensorFlow - https://medium.com/@madhawavidanapathirana/real-time-human-detection-in-computer-vision-part-2-c7eda27115c6
- 4 Point Transform OpenCV - https://www.pyimagesearch.com/2014/08/25/4-point-opencv-getperspective-transform-example/
- Measuring Distance in OpenCV - https://www.pyimagesearch.com/2016/04/04/measuring-distance-between-objects-in-an-image-with-opencv/
I want to thank to Bisa AI (https://bisa.ai) through this repository for trusting me to be the first winner in their open competition: solving COVID-19 with Artificial Intelligence