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FYI:
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I have been looking for a solution like that for some time. With the current price on harddrives, I just don’t think it makes sense to only record motion events anymore. What I want to do is stream all my cameras to my cloud server, and either let motion on my server add index points when it detects motion, or maybe even just use the build-in motion detection in the cameras to trigger index generation, for minimum processor load and power consumption. Currently I have build my own simple system usen ffmpeg to generate .mp4 segments of 10min lenght, and a simple REST call from the camera to trigger a index pointing (URL on a list) to the segment with motion. But I would like to use some more polished solution. |
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Being able to do continuous recording would be very good. With the "emulate_motion" parameter you can make it record continuously but it does not detect movements. So what I do is run two Motion processes, one for motion detection and one for continuous recording. From one process the video is sent to a virtual device so that the other process can access it.
The ideal would be to have a parameter to record continuously and detect movements at the same time.
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Motion events and recordings are good, but most surveillance solutions are also provides a way to continuous recordings.
It would be great to have a way to break output videos in some customizable segments and have like motion event chapters inside(as in mkv container).
There was an old issue: #278 but it turns out it was motioneyeos related and closed after.
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