Piezoelectric-Powered Air Quality Monitoring and Accident Detection System


Authors : Pallab Roy; Subhajit Mondal; Subhajit Pal; Suman Biswas; Atanu Gayen; Amit Mondal; Sumit Bera; Rahul Dutta; Partha Ray

Volume/Issue : Volume 10 - 2025, Issue 5 - May


Google Scholar : https://tinyurl.com/4dmumnpm

DOI : https://doi.org/10.38124/ijisrt/25may1425

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : This work develops a smart energy-efficient air quality monitoring system operated by piezoelectric technology harvesting energy from foot pressure. The system is monitoring environmental toxic gasses such as CO, CO2, which provides real -time data to assess environmental conditions. In parallel, this work also detects car accident using YOLOv11. This double function system not only promotes environmental awareness and public health but also improves traffic safety by enabling rapid emergency reactions. The self -directed design ensures little maintenance and high reliability, making it a viable solution for smart city infrastructure and sustainable urban development.

Keywords : Piezoelectric, Foot Step Power Generation, Air Quality Monitoring, Accident Detection System, DHT11 & MQ135.

References :

  1. K. Zheng, S. Zhao, Z. Yang, X. Xiong and W. Xiang, "Design and Implementation of LPWA-Based Air Quality Monitoring System," in IEEE Access, vol. 4, pp. 3238-3245, 2016
  2. Khodve, Shilpa R., and A. N. Kulkarni. "Web Based Air Pollution Monitoring System (Air Pollution Monitoring Using Smart Phone)." International Journal of Science and Research (IJSR) 5.3 (2016): 266-269.
  3. Tejal Lengare, Pallavi Sonawane, Prachi Gunjal, Shubham Dhire, “Accident Detection & Avoidance System in Vehicles” Engpaper Journal.
  4. Kelvin Rinaldi da Luz, João Elison da Rosa Tavares, Jorge Luis Victória “RoadLytics: Road Accidents Analytics Using Artificial Intelligence” Engpaper Journal 2021.
  5. Foggia, Pasquale, et al. "Audio surveillance of roads: A system for detecting anomalous sounds." IEEE transactions on intelligent transportation systems 17.1 (2015): 279-288.
  6. J. A. Rosales, J. G. Samson and C. Maderazo, "Motor Vehicle Crash Detection Using Yolov8 Algorithm," 2023 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT), Malang, Indonesia, 2023, pp. 365-371
  7. Hidayatullah, Priyanto & Syakrani, N. & Sholahuddin, Muhammad & Gelar, Trisna & Tubagus, Refdinal. (2025). YOLOv8 to YOLO11: A Comprehensive Architecture In-depth Comparative Review.

This work develops a smart energy-efficient air quality monitoring system operated by piezoelectric technology harvesting energy from foot pressure. The system is monitoring environmental toxic gasses such as CO, CO2, which provides real -time data to assess environmental conditions. In parallel, this work also detects car accident using YOLOv11. This double function system not only promotes environmental awareness and public health but also improves traffic safety by enabling rapid emergency reactions. The self -directed design ensures little maintenance and high reliability, making it a viable solution for smart city infrastructure and sustainable urban development.

Keywords : Piezoelectric, Foot Step Power Generation, Air Quality Monitoring, Accident Detection System, DHT11 & MQ135.

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