<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Finally have the stream from my HikVision, now the challenge of Frigate]]></title><description><![CDATA[<p dir="auto">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 <code>rtsp://USERNAME:PASSWORD@192.168.30.50:554/Streaming/Channels/101</code>. Working nice. But on its own, very unusful unless I get storage and image detection going. So, I need something like Frigate.</p>
<p dir="auto">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.</p>
<p dir="auto">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?</p>
]]></description><link>https://forum.ieu.app/topic/158a7025-a6ec-4310-9f3d-776838e9e3f8/finally-have-the-stream-from-my-hikvision-now-the-challenge-of-frigate</link><generator>RSS for Node</generator><lastBuildDate>Thu, 17 Sep 2026 11:45:36 GMT</lastBuildDate><atom:link href="https://forum.ieu.app/topic/158a7025-a6ec-4310-9f3d-776838e9e3f8.rss" rel="self" type="application/rss+xml"/><pubDate>Sat, 12 Sep 2026 18:19:06 GMT</pubDate><ttl>60</ttl></channel></rss>