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  • 12 Posts
  • 15 Comments
Joined 1 year ago
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Cake day: June 22nd, 2023

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  • That’s quite a few cameras. I would do an audit on how many you will actually need first, because you will likely find you could get by with 5-10.

    That’s a fair point. I haven’t actually methodically gone through to see exactly how many I would need just yet. The numbers that I chose were somewhat just ballpark off the top of my head.

    You will also want some form of reliable storage for your clips

    I am planning to give the camera server dedicated storage for the data. If I’m really feeling like splurging on it, I may look into getting WD Purple drives, or the like.

    as well as the ability to back up those clips/shots to the cloud somewhere.

    I’m not sure that I would need this very much. I’m mostly interested in a sort of ephemeral surveilance system; I only really need to store, at most, a few days, and then rewrite over it all.

    I’m personally running 4 cameras (3x1080 @ 15fps, 1x4k @ 25fps) through my ~7 year old Synology DS418play NAS

    Would you say that 15FPS is a good framerate for surveilance? Or could one get away with even less to lessen the resource requirements?

    whereas I can tweak stuff on Surveillance Station quite easily.

    What tweaking do you generally need to do for the camera server?


  • The space requirements get super intense with many cameras like that unless you compress the video.

    I think Frigate uses h264 if I remember correctly. Also I’m not planning on storing and archiving the recorded data. I most likely would only save a day or a couple days. You do raise a good point about vacations, though - I should probably have enough storage for possible vacations.

    Also if the cameras don’t encode then the data flow would congest your network something fierce.

    The newtork that the camera feeds would be flowing through would essentially be isolated from the rest of the network. I intend to hook the cameras up to a dedicated network switch, which would then be connected to the camera server.

    The biggest issue as I see it with so many cameras would be how to find interesting stuff in all that data.

    What’s nitce about Frigate, is that it uses OpenCV, and TensorFlow to analyze the video streams for moving objects.

    More Information can be found on Frigate’s website.