IoT-Based Manhole Detection and Monitoring System

Year : 2025 | Volume : 16 | Issue : 03 | Page : 1 6
    By

    Ananthu N.K.,

  • Godwin Joy,

  • Joyel Joseph,

  • Vitina Prijo,

  • Shejina N.M.,

  1. Student, Department of Computer Science and Engineering, IES College of Engineering, Thrissur, Kerala, India
  2. Student, Department of Computer Science and Engineering, IES College of Engineering, Thrissur, Kerala, India
  3. Student, Department of Computer Science and Engineering, IES College of Engineering, Thrissur, Kerala, India
  4. Student, Department of Computer Science and Engineering, IES College of Engineering, Thrissur, Kerala, India
  5. Assistant Professor, Department of Computer Science and Engineering, IES College of Engineering, Thrissur, Kerala, India

Abstract

Urban drainage systems face numerous challenges, including blockages, harmful gas accumulation, and flooding, which pose risks to public safety and environmental health. This project introduces an IoT-enabled solution designed to monitor and address these issues efficiently. The system incorporates sensors to detect critical parameters such as gas levels, temperature, water presence, and nearby obstacles. A unique lifting mechanism ensures the hardware adapts to challenging conditions, maintaining uninterrupted operation. The system transmits real-time data to a mobile application, allowing authorities to monitor drainage systems efficiently. It features live updates, historical data visualization, and a user-friendly interface that aids in swift decision-making. By identifying trends and potential hazards early, the application enhances public safety and operational efficiency. Its scalable and reliable architecture supports seamless integration into smart city infrastructure. This proactive approach to drainage management not only reduces risks but also ensures timely maintenance and resource allocation. As a result, the solution promotes sustainability, improves urban resilience, and supports the broader goals of intelligent infrastructure and effective urban planning.

Keywords: IoT, drainage monitoring, real-time data, urban safety, hazard prevention, smart city, infrastructure management

[This article belongs to Journal of Remote Sensing & GIS ]

How to cite this article:
Ananthu N.K., Godwin Joy, Joyel Joseph, Vitina Prijo, Shejina N.M.. IoT-Based Manhole Detection and Monitoring System. Journal of Remote Sensing & GIS. 2025; 16(03):1-6.
How to cite this URL:
Ananthu N.K., Godwin Joy, Joyel Joseph, Vitina Prijo, Shejina N.M.. IoT-Based Manhole Detection and Monitoring System. Journal of Remote Sensing & GIS. 2025; 16(03):1-6. Available from: https://journals.stmjournals.com/jorsg/article=2025/view=227952


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Regular Issue Subscription Review Article
Volume 16
Issue 03
Received 25/03/2025
Accepted 05/07/2025
Published 29/08/2025
Publication Time 157 Days
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