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layout | title | description | date | sidebar | comments | sharing | footer | logo | ha_category | ha_release |
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page | FFmpeg Noise Binary Sensor | Instructions on how to integrate an FFmpeg-based noise binary sensor | 2016-08-25 08:00 | true | false | true | true | ffmpeg.png | Image Processing | 0.27 |
The ffmpeg
platform allows you to use any video or audio feed with FFmpeg for various sensors in Home Assistant.
If the `ffmpeg` process is broken, the sensor will be unavailable. To control the ffmpeg process of sensor, use the service *ffmpeg.start*, *ffmpeg.stop*, *ffmpeg.restart*.
{% linkable_title Configuration %}
To add FFmpeg with noise detection to your installation, add the following to your configuration.yaml
file:
# Example configuration.yaml entry
binary_sensor:
- platform: ffmpeg_noise
input: FFMPEG_SUPPORTED_INPUT
Configuration variables:
- input (Required): An FFmpeg-compatible input file, stream, or feed.
- name (Optional): Override the name of your camera.
- initial_state (Optional): Default true. Start ffmpeg with home-assistant.
- peak (Optional): Default -30. The threshold of detecting noise, in dB. 0 is very loud and -100 is low.
- duration (Optional): Default 1 second. How long the noise needs to be over the peak to trigger the state.
- reset (Optional): Default 20 seconds. The time to reset the state after no new noise is over the peak.
- extra_arguments (Optional): Extra options to pass to
ffmpeg
, like audio frequency filtering. - output (Optional): Allows you to send the audio output of this sensor to an Icecast server or other FFmpeg-supported output, e.g., to stream with Sonos after a state is triggered.
To experiment with values:
$ ffmpeg -i YOUR_INPUT -vn -filter:a silencedetect=n=-30dB:d=1 -f null -