Thanks! The short answer is that I don't know, as it's only been run on EC2 instances, but given its current compute needs, probably not.
The longer answer is that this project has a ton of room for optimization, some of which is mentioned in the repo, and with lower latency requirements + optimizations, I don't see why it wouldn't work on less powerful hardware (I've never personally worked with the Jetson Nano, so I don't want to speak with any false confidence on it specifically).
I guess object detection is the bottleneck of the pipeline, which highly optimized YOLOv4-tiny[0]could get to 39 FPS on Jetson Nano. Also camera decoding with Nvidia Deepstream is a lot faster than OpenCV.
