I started tinkering with frigate and saw the option to use a coral ai device to process the video feeds for object recognition.
So, I started checking a bit more what else could be done with the device, and everything listed in the site is related to human recognition (poses, faces, parts) or voice recognition.
In some part I read stable diffusion or LLMs are not an option since they require a lot of ram which these kind of devices lack.
What other good/interesting uses can these devices have? What are some of your deployed services using these devices for?
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Yeah, they are mostly designed for classification and inference tasks; given a piece of input data, decide which of these categories it belongs to - the sort of things you are going to want to do in near real time, where it isn’t really practical to ship off to a data centre somewhere for processing.
I started using Frigate and thought about going the Coral route but realized you didn’t need them if you have a relatively recent Intel CPU (6th gen or newer) as OpenVino with the iGPU is pretty much on par https://github.com/blakeblackshear/frigate/discussions/5742 .
A lot of the newer SBCs are being shipped with integrated NPUs/TPUs now as well. I would get a Coral if I were to use an older SBC or RPi or older PC as a camera server for object detection. Currently I have an ESP32-CAM watching a bird feeder but that feed goes to a modern server for bird species recognition but I could see a Coral as an option.
Can you tell me more about your bird recognition setup? I currently have a feeder with a PiCam on it that records based on movement (just using RPi_Cam_Web_Interface) but would love to do something like that!
They are generally used for speech recognition and image classification, sometimes in a BAD way, like face recognition in surveillance cameras.
I mean that’s not inherently bad, what you do with that data could be though.
