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by r2_pilot
815 days ago
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I use DepthAI cameras for a bunch of CV/ML stuff [https://shop.luxonis.com/] (the models run on-camera the most part) with a Jetson Nano Orin as the microcontroller. I used to use just the Jetson Nano but Nvidia is trying hard to get people on the new Orin, so I finally paid the Nvidia tax and developing for it became exciting again. But in your case, any raspberry pi would work since the detection events are not processed on the raspberry pi and the camera processor is relatively beefy. Check out their gen 2 examples for some of the models related to your task. Although looking at crowd counting example [https://github.com/luxonis/depthai-experiments] it may not run fast enough for your needs. But if you had the processing power freed up on the raspberry pi, possibly you could just display the 30fps frames and loosely sync the person bounding box detection once a second or so, which would look sorta normal for anyone watching. Anyway, sorry to ramble, I've just been working on those code samples a lot lately and I think this may be helpful for you or someone else in this problem space. |
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