Smart Residential Water Leak and Overuse Detection System Using Machine Learning

Abstract

This paper proposes a water leak detection framework for residential properties using machine learning. Water is an essential natural element, and water conservation is at the core of the global sustainable development goals set by the United Nations in 2015. While several research studies investigated water conservation at a larger scale, this study focus on residential water leakage and consumption. Several studies have reported that residential leakage can go unnoticed for a very long time, resulting in significant water waste. Sensor technologies and machine learning can help in the early detection of these leaks to minimize the wasted water at residential properties. The proposed leakage detection model was tested using a physical prototype, and experimental results show that the proposed model detects leakage and overuse with an overall accuracy of 87%. In addition, the proposed system proved efficacy in detecting almost all cases of the leak with a recall of 83%. © 2022 IEEE. keywords: IoT, Machine Learning, Sensors, Sustainable Development