Researching
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ttn-soundlevel

A #MakeZurich hack

A project started at MakeZurich, sends average sound level to a device on The Things Network.

Let's measure the ambient level of coworking spaces (like the Impact Hub, where we started this project..), help folks find the quietest or loudest place to plug in!

This Arduino code averages the input from a digital sound sensor, and sends it to TTN at customisable rates.

After deploying the device, use this Payload Function to decode the data into JSON:

function Decoder(bytes, port) {
  var decoded = {};
  if (port === 1) decoded.level = (bytes[0] << 8) + bytes[1];
  return decoded;
}

Full documentation on the LM386 can be found at waveshare.com

As a stretch project, it could be fun to correlate the more detailed data to the soundtrack histograms of the demos we played.

29.10.2020 21:35

Team forming

loleg has joined

04.02.2017 17:00

Hackathon finished

04.02.2017 16:55

Documentation

Worked on by admin

03.02.2017 22:22

Team forming

admin has joined

03.02.2017 22:22

Project started

Initialized by admin

27.01.2017 18:00

Hackathon started

Nightlife noise

Nightlife and its noise are highly contentious topics in our city. With civic tech and LoRaWAN we could gather and publish open data to allow to objectively quantify noise levels in nightlife areas.

Provided by Sicherheitsdepartement Stadt Zürich

Get started

Join the conversation on The Things Network Switzerland Slack team (if you haven't signed up yet, get your invite here). There is one channel per challenge, look for the ones prefixed with #mz-.