Vol. 4 No. 1 (2025): January
RESEARCH ARTICLES

Smart Water Leakage Detection And Prevention System Using IoT Technology

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  • G Sateesh,
  • B Jaswanth,
  • P Tharun Kumar,
  • G Divyamsi,
  • C Venkata Subbaiah
G Sateesh
Department of Computer Science and Engineering, Annamacharya Institute of Technology and Sciences, Kadapa, Andhra Pradesh, India.
B Jaswanth
Department of Computer Science and Engineering, Annamacharya Institute of Technology and Sciences, Kadapa, Andhra Pradesh, India.
P Tharun Kumar
Department of Computer Science and Engineering, Annamacharya Institute of Technology and Sciences, Kadapa, Andhra Pradesh, India.
G Divyamsi
Department of Computer Science and Engineering, Annamacharya Institute of Technology and Sciences, Kadapa, Andhra Pradesh, India.
C Venkata Subbaiah
Department of Computer Science and Engineering, Annamacharya Institute of Technology and Sciences, Kadapa, Andhra Pradesh, India.
DOI: https://doi.org/10.5281/zenodo.15129467

Published 2025-04-03

Keywords

  • Machine learning,
  • Raspberry Pi B ,
  • Soil moisture monitoring,
  • DHT11 sensor,
  • Water leakage management,
  • Automated prevention
    • ...More
    Less

How to Cite

G Sateesh, B Jaswanth, P Tharun Kumar, G Divyamsi, & C Venkata Subbaiah. (2025). Smart Water Leakage Detection And Prevention System Using IoT Technology. International Journal of Computational Learning & Intelligence, 4(1), 367–373. https://doi.org/10.5281/zenodo.15129467

Copyright (c) 2025 G Sateesh, B Jaswanth, P Tharun Kumar, G Divyamsi, C Venkata Subbaiah

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Abstract

The "Water Leakage Detection System Using IoT" is designed to detect and prevent water leakage by utilizing a Raspberry Pi Model B+ as the central control unit. It integrates several sensors, including a soil moisture sensor to assess soil dampness, a DHT11 sensor to measure temperature and humidity, and a flow sensor to monitor water flow. When any of these parameters deviate from the expected range such as an increase in temperature, abnormal moisture levels, or irregular water flow the system triggers an alert mechanism.A GSM module is employed to send an SMS notification to the user, ensuring they are promptly informed of any anomalies. Simultaneously, a buzzer sounds to draw immediate attention to the issue. An LCD screen provides real-time data and system status, while a 5mm red LED lights up when a critical parameter exceeds its threshold, indicating a potential leakage or abnormal condition. The system is powered by a reliable 12V 1A adapter, ensuring continuous and stable operation, making it suitable for real-time monitoring and response. Furthermore, the system utilizes machine learning algorithms to analyze sensor data and improve detection accuracy over time. By learning from historical data, it enhances its ability to identify patterns associated with leaks or irregular conditions. This proactive approach helps minimize water waste and prevent damage, making the system an efficient and intelligent solution for water leakage detection in various environments.
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