Social distance tool with depth
Published:
Built a simple social distance violation detection tool using Faster-RCNN, OpenCV and a monocular depth estimation algorithm developed using Pytorch. The tool can take a video as input and highlight people who are close together and are not maintaining social distance.
This project was selected for Phase 1 of Intel and OpenCV’s Spatial AI Competition.