Abstract
EcoSense is an IoT-based smart waste management system designed to improve waste segregation while enhancing safety through real-time fire and gas detection. The system aims to automatically identify and segregate waste while continuously monitoring hazardous conditions such as flammable gases and fire incidents in waste collection units. Using a combination of gas sensors, flame sensors, and microcontroller- based IoT modules, EcoSense detects the presence of harmful gases and fire, triggering immediate alerts to prevent accidents and environmental damage. The collected sensor data is transmitted to a cloud platform, enabling real-time monitoring and remote access through a web or mobile interface. Automated alerts are generated in case of abnormal conditions, allowing timely intervention by authorities. By integrating waste segregation with safety monitoring, EcoSense reduces manual handling risks, minimizes environmental pollution, and promotes efficient waste processing. This project demonstrates a cost-effective, scalable, and eco-friendly approach to modern waste management, contributing to smarter cities and sustainable environmental practices.
Citations
IRE Journals:
J. Sreya Nidhi, Jennifer Mary A., Mounika B., Jayashri M, Dr. Krishna Kumar P R "EcoSense: IoT Waste Segregation with Fire & Gas Protection" Iconic Research And Engineering Journals Volume 9 Issue 6 2025 Page 2416-2418 https://doi.org/10.64388/IREV9I6-1713076
IEEE:
J. Sreya Nidhi, Jennifer Mary A., Mounika B., Jayashri M, Dr. Krishna Kumar P R
"EcoSense: IoT Waste Segregation with Fire & Gas Protection" Iconic Research And Engineering Journals, 9(6) https://doi.org/10.64388/IREV9I6-1713076
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
Important Links
For Authors
Volume 8:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 7:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 6:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 5:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 4:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 3:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12