System and Method Social Distancing Recognition in CCTV Surveillance Imagery

As part of our supercluster initiative at Xtract One (formerly PatriotOne), I developed a patented system to estimate distances between people in real-time and determine their social distancing compliance. (LINK TO PATENT)

My end-to-end contributions included:

• Planning, filming, and augmenting all of the in-house social distancing videos, as there were no readily available datasets at the time.

• Training the PyTorch Person Detection deep learning algorithm.

• Engineering the features from the detected person bounding boxes to feed into our social distancing regression model.

• Training the Random Forest regression model using Python’s Sci-kit Learn library.

• Packaging the regressor as an ONNX model to run on the Nvidia Triton Inference server.