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Hardware to run 30 Cameras ?
(lemmy.world)
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this post was submitted on 16 Oct 2023
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homeassistant
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Home Assistant is open source home automation that puts local control and privacy first. Powered by a worldwide community of tinkerers and DIY enthusiasts. Perfect to run on a Raspberry Pi or a local server. Available for free at home-assistant.io
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So basically thin Client + coral tpu with frigate and then homeassistant Integration? How should I Set up the connection to the cameras? Onvif?
I haven't setup Frigate myself yet so I'm not sure on the specifics but yeah that's the idea! You don't need the tpu for it to work but I plan on getting some because... They're very cool lol. You'd need several to cover 30 cameras, though - I believe they recommend one for every 4 cameras.
But yeah, a cheap thin client will work. The minimum specs for frigate are surprisingly low
You can use OpenVINO now on Frigate and get the same/better performance as a Coral, worth checking out.
Whoa, hadn't heard about that. It's all software?
I don't really need what Coral offers, I was just gonna do it for fun....but if I could do it without buying more hardware, that's even better!
Technically it runs in the CPU iGPU hardware accelerator I believe, but as long as you have a 6th gen or newer Intel CPU you don't need a Coral.
Hmmm that's not that recent of a chip, I can probably make that work without breaking the bank!
Thanks again for the heads up, I wasn't looking forward to having multiple USB devices on my rack so this will be great
Yeah you can grab a ready to go dell usff box on eBay with a 7th gen for about $80.
You don't need a coral anymore since Frigate supports OpenVINO on 6th gen or newer Intel CPUs. It also supports using QSV for any decoding/encoding that needs to happen.
Frigate uses RTSP for the camera connection.
Okay, but does this (or the coral or whatever) make the delivery of 30 (or just 10) simultaneous streams any smoother than just the straight stream from webrtc in homeassistant?
No, it's just for object recognition to classify recordings.