IJESD 2021 Vol.12(8): 226-231
doi: 10.18178/ijesd.2021.12.8.1344

IoT Based Car Pollution Detection Using Cloud Computing

Thamilvaani Alvar1 , Thinagaran Perumal2

  • 1the School of Science and Engineering, the
  • 2the Department of Computer Science, Faculty

Abstract

Air pollution is a critical problem that is currentlyplaguing Asia in the perilous fight against environmentalpollution. It refers to the harmful substances and pollutants inthe air that play an essential role in the depletion of the ozonelayer while being a grave hazard to the ecological system. Aprincipal cause of air pollution is the increase in vehiculartraffic, especially in Asia, that has been noted in recent years.The combustion reaction that occurs when cars burn gasolineleads to the emission of Carbon Monoxide (one of the principalconstituents of air pollution). According to many recent studies,Carbon Monoxide is fatal enough to cause health issues whichmay lead to death in some extreme cases. Thus, it comes as nosurprise that regulating car pollution is a paramount step infinding a solution to this global issue.<br>Therefore, we are developing a system using a carbonmonoxide sensor (MQ-7) and Arduino Uno microcontroller,which detects the gas emission from the car exhaust. Internetwill play an important role in the communication of physicalthings. Physical objects can be empowered through theembedded electronics into it, to make them smart and at thesame time IoT gives the connection among these objects to givehigh quality of life to the people. Hardware, softwarecomponents works cooperatively to build the IoT. Thistechnology is used in the development of air pollution detectionsystem.

Keywords

  • Air pollution
  • cloud computing
  • carbon monoxide
1344-A133

How to Cite

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Thamilvaani Alvar and Thinagaran Perumal, "IoT Based Car Pollution Detection Using Cloud Computing," International Journal of Environmental Science and Development, vol. 12, no. 8, pp. 226-231, 2021. https://doi.org/10.18178/ijesd.2021.12.8.1344

Copyright & License

Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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