Finally have the stream from my HikVision, now the challenge of Frigate (lemmy.ml)

submitted 1 week ago* (last edited 1 week ago) by trilobite@lemmy.ml to c/selfhosted@lemmy.world

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I've now managed to get the stream of my HiWatch Series, model HWI- T641H-Z 2.8-12 mm by accessing via browser to rtsp://USERNAME:PASSWORD@192.168.30.50:554/Streaming/Channels/101. Working nice. But on its own, very unusful unless I get storage and image detection going. So, I need something like Frigate.

I believe the Frigate docs suggest running in a docker container installed on a VM. Very convienient as I have Proxmox (installed on a optiples 7070 micropc with 32MB ram) running a VM on which i have a few containers. The idea is to mount a "frigate" dataset created on my Truenas server on Proxmox which is then mounted to the VM. Lots of layers but hoping it should be ok.

I heard that the Google Coral TPU is not sold anymore. Is this going to be a problem for Frigate image recognition? Are there alternatives to the Coral TPU?

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[-] SteveTech@aussie.zone 2 points 1 week ago* (last edited 1 week ago)

Regarding Google Coral, from the docs: https://docs.frigate.video/frigate/hardware

The Coral is no longer recommended for new Frigate installations, except in deployments with particularly low power requirements or hardware incapable of utilizing alternative AI accelerators for object detection. Instead, we suggest using one of the numerous other supported object detectors. Frigate will continue to provide support for the Coral TPU for as long as practicably possible given its still one of the most power-efficient devices for executing object detection models.

Personally, I'd recommend OpenVINO. It works on iGPUs, and if that's not possible it's quite performant on CPUs. I currently run a Google Coral and the Linux driver is no longer officially maintained meaning it breaks every now and then after a kernel update, next time it breaks I'm going with OpenVINO.

Also, I'd install Docker in an LXC for Frigate, it makes passing the iGPU through to it a lot easier.

this post was submitted on 12 Sep 2026

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