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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[-] Shimitar@downonthestreet.eu 1 points 1 week ago

Feels like nextcloud....

[-] tenekev@lemmy.world 1 points 1 week ago* (last edited 1 week ago)

Nah, not even close. Nextcloud's attempt to throw in the kitchen sink is what makes it bloated and inefficiant. Frigate on the other hand isn't like that. The bloat there comes from misconfigured pipelines for your camera feeds. You need some time to dial them in but once you do, it's literally years between maintenance and very little overhead. I have 10 cameras and my CPU barely breaks 50% utilization. I live on a busy street with lots of traffic.I can literally see a statistical trend when people go to work, go out, etc, based on cpu usage alone. That being said, not all feeds run all types of analysis. Some have only motion, some have everything, even audio.

this post was submitted on 12 Sep 2026

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