I was thinking of setting up a home surveilance system using Frigate, and integrating it with Home Assistant. I’d probably have somewhere on the order of 10-15 1080p 30fps cameras. I’m not sure what components I should get for the server, as I am unsure of the actual processing requirements.
The space requirements get super intense with many cameras like that unless you compress the video. And if you compress it then with so many you need the camera to do it on the fly otherwise your server needs to be really beefy to handle real time encoding of 10+ incoming video feeds. Also if the cameras don’t encode then the data flow would congest your network something fierce. Those requirements might push the cameras from cheap to not so cheap though (still far from expensive though imo)
The biggest issue as I see it with so many cameras would be how to find interesting stuff in all that data. If it’s only surveillance then sure you can just retain like a week of feeds and make a vacation mode where you store enough to cover the whole vacation. But if you want to look at what your dogs do etc then trying to track them across 10+ cameras is going to be tricky without some software help, unsure if there is anything open source for that.
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.
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The space requirements get super intense with many cameras like that unless you compress the video. And if you compress it then with so many you need the camera to do it on the fly otherwise your server needs to be really beefy to handle real time encoding of 10+ incoming video feeds. Also if the cameras don’t encode then the data flow would congest your network something fierce. Those requirements might push the cameras from cheap to not so cheap though (still far from expensive though imo)
The biggest issue as I see it with so many cameras would be how to find interesting stuff in all that data. If it’s only surveillance then sure you can just retain like a week of feeds and make a vacation mode where you store enough to cover the whole vacation. But if you want to look at what your dogs do etc then trying to track them across 10+ cameras is going to be tricky without some software help, unsure if there is anything open source for that.
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.
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.
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.