An Internet of Things-based Air Pollution Detection System

Authors

  • Nurul Aida Mat Saari Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, 86400, MALAYSIA
  • Hazalila Kamaludin Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, 86400, MALAYSIA
  • Noor Zuraidin Mohd Safa Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, 86400, MALAYSIA
  • Isredza Rahmi Abd.Hamid Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, 86400, MALAYSIA

Keywords:

Air pollution, gas sensors, internet of things, mobile application

Abstract

The Internet of Things (IoT)-based air pollution detection system using gas sensors is a system that is developed to detect air pollution using IoT technology. Air pollution is a condition where there is a mixture of harmful chemicals in the air we inhale that can cause damage to humans and the surroundings. The issue of polluted air nowadays has made people become more aware of the air quality they inhale. The system has been developed using MQ2 and MQ9 gas sensors to detect the air pollution level. The system involved two features in helping users read the air pollution level and notify the reading through a mobile app. Users also get notified of the reading through a pop-up notification. The mobile application development uses Android Studio, while Google Firebase is used as the database for the system. This IoT-based air pollution detection system is successfully developed and notified users about the air pollution reading to be more aware of their surroundings.

Downloads

Published

01-06-2022

Issue

Section

Articles

How to Cite

Mat Saari, N. A., Kamaludin, H., Mohd Safa, N. Z., & Abd.Hamid, I. R. (2022). An Internet of Things-based Air Pollution Detection System. Journal of Soft Computing and Data Mining, 3(1), 78-85. https://publisher.uthm.edu.my/ojs/index.php/jscdm/article/view/11663