I just published code for doing image processing using the Google Coral USB accelerator stick. This brings the power of Tensorflow object detection to the raspberry pi without any compromise to the speed of detections - detections are almost instant! For speed comparison with regular Tensorflow on the pi see this article, but detections are approximately x10 faster with the accelerator stick. Also you don’t even need to install Tensorflow on the pi to use the stick. I have structured the project in such a way that the USB stick doesn’t even need to be on the pi hosting Home Assistant, it just needs to be on a computer on your network. FYI sticks cost $75 USD.
Any feedback let me know.
You can use it with my Deepstack object integration in Home Assistant