I am trying to log environmental noise, but the values I am getting from the loudness sensor and the noise sensor aren’t that useful. I have had the sensors set up in my living room for a few days.
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During the night when the room is very quiet, I am getting average (300 over 5 minutes) readings of the sensors between 391 and 392.[/list]
[list=]During the day when things are noisier, I get readings between 391.5 and 393.[/list]
[list=]In the evening with the TV blaring, I get readings from 394 to 397.[/list]
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Although I can tell from the graph when things are, I need to write some code to trigger warning when things get too loud, and I simply do not feel like I get enough signal to noise ratio here to do that.
I am essentially using the code from the loudness sensor wiki page in python on a raspberry pi, grove base pi hat.
OK, so I think I’m going about this all wrong. Here is a more illuminating graph:
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I think the sensor doesn’t return any sort of aggregate data, but returns the value from the mic at a given point. I think to get useful loudness data, I need to take a whole bunch of samples over a short period, and consider my loudness to be the difference between the lowest and the highest.
Is that about right?
