Using a Coral Edge TPU to run object detection/tracking on multiple RTSP cameras. Python is not my first langauge. This is something I cobbled together as a proof of concept following a few Udemy intro courses on Python, computer vision, and machine learning. A long with a lot of Coral Edge TPU and OpenCV examples online. Someone please fork this and make it better!
Script loads RTSP feeds from five cameras and displays them all in one window. Runs object tracking against people and vehicles within a defined region of interest and notifies user via Pushover if an object of interest within a certain size range is tracked for a specified number of frames. I wrote it because of my previous attepts and making my dumb IP cameras smarter would send continuous notifications if someone parked in the driveway for example.
Thanks to the Edge TPU, it can run the inference on 4 cameras (displaying 5) at about 7-9 fps using the low-res substreams from the cameras on an Atomic Pi (Intel Atom CPU).
