this post was submitted on 01 Sep 2024
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Hello everyone,

I have a few questions about Frigate and security cameras, and I thought this would be a good place to ask.

I’m new to security cameras and Frigate, so please excuse any basic questions I might have.

I have a PC at home with an i7-8700 CPU running Proxmox, where I plan to install Frigate in an LXC container for device passthrough.

I came across this Amcrest camera on Amazon: Amcrest IP5M-B1276EW-AI. Since Amcrest is recommended, I assume it should work well, but I’d like to confirm before purchasing. If you have any camera recommendations in the $60 range, I’d appreciate them.

I also read that having dual network interfaces is recommended. My router doesn’t support creating new subnets (I don't know if that would be a problem), and my PC currently has only one network interface. My initial plan was to get a PoE switch and connect the cameras and the router to it, but would getting a separate PCIe network card, and then connect my PC to the switch instead of the router work for creating a separate, internet-less network?

Lastly, I understand that using a Coral accelerator is highly recommended. I’m deciding between the $25 PCIe version and the $60 USB version. Does Frigate benefit from the more expensive USB Coral, or is the $25 PCIe version sufficient? My motherboard is a Gigabyte B365M DS3H, in case that’s relevant.

Thanks in advance for your help!

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[–] [email protected] 3 points 3 months ago (1 children)

8th gen is perfectly fine; it's the same GMA 630 that's in my 10850k which is doing 4 cameras without even breaking a sweat.

[–] [email protected] 1 points 3 months ago (1 children)

I might try this then. How do you run openvino, is it included in the docker container, or is it external?

[–] [email protected] 1 points 3 months ago

Just a configuration option for Frigate, https://docs.frigate.video/configuration/object_detectors/

Other than picking that type, I don't think I had to make any other configuration changes as I was already passing the iGPU through to the container for hardware acceleration.

(As a side note, even with openvino, 4 cameras using the hardware decoding, AND jellyfin transcodes, the iGPU basically sits at 5% usage. The openvino stuff is shockingly efficient.)