
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 3
May-June 2025
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Effective Water Leakage Detection System
Author(s) | Ms. Pandimadevi Ganesan, Maheswari Maruthakutti, Thushara Hameed, Selvakumar Vairamuthu |
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Country | Oman |
Abstract | Water leakage is a pervasive issue that can lead to property damage, increased utility costs, and adverse environmental impacts. This project aims to develop a cost-effective water leakage detection system that utilizes advanced sensor technology to identify leaks. By employing a network of flow sensors and smart programs, the system will provide early alerts to homeowners, enabling swift responses to prevent further damage. The successful implementation of this project could lead to significant savings, increased property longevity, and a reduced environmental footprint, ultimately contributing to a more sustainable future. A water flow leakage detector is designed to detect the leakage of water to significant savings, reduce water leaks, reducing wastage, costs, and environmental impact. Relay module, buzzer, water flow sensor, Arduino UNO, and LCDI2C display are used. The water leakage detection system utilizes two flow sensors to compare water flow rates in different sections of a plumbing system. The Arduino UNO processes the readings from both sensors, continuously monitoring for discrepancies. If one sensor detects a significantly higher flow rate than the other, indicating a potential leak, the system activates a buzzer to alert users and displays the flow rates and warning messages on the LCD, such as Leak Detected. This approach provides real-time monitoring and alerts without shutting off the water supply, allowing users to address the issue proactively. |
Keywords | Arduino UNO, water flow sensor, leakage, flowrate, automation |
Field | Engineering |
Published In | Volume 7, Issue 3, May-June 2025 |
Published On | 2025-05-13 |
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E-ISSN 2582-2160

CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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