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For trigger-only use, the setup is:

  • AI detection / detection-based recording: enabled
  • Detection model: leave it empty

The detection thread then runs and responds to your /api/motion/trigger calls, but performs no local inference — so nothing is spent on a model whose output you aren't using. Choosing a model means LightNVR also runs that detector on the stream continuously, which is only what you want if you intend to combine local detection with your external events. So it does matter: an unnecessary model here is pure CPU cost.

As of 0.36.5 there's a second option. If you record 24/7 and only want the API events marked on your timeline, leave detection-based recording off entirely. Th…

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Answer selected by titro
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