This project is about the development of a system that enables real time data visualization via a webapp regarding sound intensity using multiple node devices connected through internet. The prototype was realized using ATmega328 (Arduino Nano) and ESP8266 hardware modules, NodeMCU arduino wrapper library, Google maps and firebase API along with JavaScript webapp. System architecture is such that multiple node devices will be installed in different locations of the target area. On each node device, an Arduino Nano interfaced with a Sound Sensor measures ambient sound intensity and ESP8266 Wi-Fi module transmits the data to a database via web API. On the webapp, it plots all the real- time data from the devices over Google maps according to the locations of the node devices. The logged data that is collected can then be used to carry out researches regarding sound pollution in targeted areas. Keywords: Sound Sensor, NodeMCU, ESP8266, Noise Pollution, Mapping, IoT, Google firebase.
- ICIEV and icIVPR, 2018 (conference paper)
- Find the full paper at https://arxiv.org/abs/2002.11188