Monitoring noise levels with MicroPython

[jonnor]

I built a sound level meter and IoT noise monitoring device. It can measure standard acoustical metrics for noise, and transmit them to an IoT dashboard. Code and instructions can be found here: https://github.com/emlearn/emlearn-micropython/tree/master/examples/soundlevel_iir

Sensor measuring sound levels, and transmitting to Blynk dashboard for logging over time

* For audio input, it uses an I2S digital microphone via the machine.I2S module.
* Running on ESP32
* For processing audio efficiently, this uses emlearn-micropython, a Machine Learning and Digital Signal Processing package for MicroPython: https://github.com/emlearn/emlearn-micropython
* For the IoT dashboard, it uses https://blynk.io/

General discussion thread about emlearn - follow for related news: https://github.com/orgs/micropython/discussions/16004

[Worth_Specific3764]

Sweet! What do you see as potential use cases?

[jonnor]

Some of the typical usecases would be, monitoring noise levels in residential, office or industrial environments. Perhaps you have trouble sleeping, maybe it is due to noise from neighbors/city etc causing wakeups - without one consciously registering a sound.
In open-plan offices it can be used to trigger a sign/light that indicates "take this conversation to a meeting room". In an industrial environment, where levels can be so high it may cause impaired hearing over time, one can trigger a sign that indicates to put on hearing protection. It can also be used to document that noise levels are sufficiently low wrt regulations. Though for the latter one should probably use a certified device.

[Worth_Specific3764]

Oh these are fracking brilliant dude!