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Quiet Hours by Team SOLUTI/ON (Feb 2-3, 2019)

Vish Anand, Dean Ogle, Noah Sediqe, & JT Thrash

Presentation Given at the OSU MakeOHI/O Hackathon

Won 1st Place for the Best Use of Voice Technology (EdgeThingz sponsor challenge)


As Sophomores at Ohio State, the four of us were living in the Dorms and would often hear our RA's complain about excessive noise, so we decided to develop a system to automate the warning process---thereby making the RA's job easier. This system can also easily be adapted to other environments that would benefit from noise-level monitoring, such as hospitals and libraries.

Technical Details

Our project had two major components:

  • The Arduino-powered Listening Device
    • We wired a microphone to the Arduino's analog input ports so that it could monitor noise levels, we also wired it to four colored LED's that acted as status lights
    • The Arduino board we used had an ESP8266 Wireless module, so we pinged our server with the max noise levels from each 10-second interval every 10 seconds
    • Each Arduino device was assigned its own Device ID QR code so that we may scale our architecture to account for multiple Listening Devices in the future
    • The code was written using the Arduino IDE in a variant of C++
    • Source code is located at /Arduino/
  • The Node.js Backend
    • Ran off of a rented DigitalOcean server droplet in New York City during the Hackathon
    • The server code was written in Node.js, and it listened to pings from the Arduino at a specified endpoint
    • When the server detects excessive noise levels, it sends a message to a specified GroupMe group using GroupMe's Bot API subject to appropriate cooldown periods
    • We also made a Bootstrap Configuration Panel that allows users to configure their Device ID, GroupMe Bot ID, custom messages to send for excessive noise, the cooldown period, and the acceptable volume threshold
    • Source code is located at /Server/


Front of device Image

Inside of device Image



MAKE OHI/O 2019 Project






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