International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Autopilot Eco Plane to Reduce Air Pollution

Abstract

This research paper explores the concept of an autonomous drone, “Eco plane” as a potential solution to reduce air pollution caused by commercial aviation. This drone will be equipped with an air quality detector to identify areas with high pollution levels. It will fly over these areas while carrying a chemical solution to purify the air. Image processing techniques will be employed to detect and avoid obstacles, optimizing the plane's purifying capabilities. Real-time data on air quality and pollution levels will be collected and displayed on a mobile app dashboard, aiding in the monitoring of daily air purification progress. The collected data will also be analyzed to develop algorithms that predict the lifespan of individuals residing in polluted areas and determine when the environment becomes uninhabitable. Furthermore, this research will employ machine learning techniques to identify pollutants, providing valuable insights to policymakers for effective pollution reduction strategies.

Country : Sri Lanka

1 Nalagamage Buddishan2 Amalsha Thathsarani Fernando3 Kaveesha Senuri Liyanage4 Sanka Devinda5 Nelum Amarasena

  1. Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, Sri Lanka
  2. Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, Sri Lanka
  3. Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, Sri Lanka
  4. Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, Sri Lanka
  5. Lecturer, Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology, Sri Lanka

IRJIET, Volume 7, Issue 11, November 2023 pp. 141-146

doi.org/10.47001/IRJIET/2023.711020

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References

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