Advanced Air Pollution Detection using IOT and Raspberry PI
Ali AbaasAboodee Al-Zaheiree1, Yasir Ahmed Taha AL-Zubaidi2, S.S.Gaikwad3, R.K.Kamat4
1Ali AbaasAboodee Al-Zaheiree, Department of Computer Science, Shivaji university, Kolhapur.
2Yasir Ahmed Taha AL-Zubaidi, Department of Computer Science, Shivaji university, Kolhapur.
3Dr.S.S.Gaikwad, M.Sc. Ph.D. Department Computer Science, Shivaji university ,Kolhapur.
4Prof.(Dr.).R.K.Kamat, M.Sc., Ph.D, Head of Department Computer Science, Shivaji university ,Kolhapur.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 5390-5394 | Volume-8 Issue-5, January 2020. | Retrieval Number: E5931018520/2020©BEIESP | DOI: 10.35940/ijrte.E5931.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Air pollution becomes more complicated nowadays in many applications. In India, many cities are affecting air pollution. This is the increasing problem day by day. Various measures are taken to calculate the air quality and more preventative measures to be taken to control air pollution. Many air quality measures are taken to overcome the pollution but till now no improvement in the air quality is observed. In this paper, an enhanced air quality detection system is introduced to find the air polluted gases present in the environment. Air quality index was sensed gases like MQ2, MQ135, MQ7, etc. and displayed each and every calculation in the LCD display. New integrated technology is introduced with the integration of IoT to overcome the pollution problem.
Keywords: MQ2, MQ135, MQ7..
Scope of the Article: IOT