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@article{176600,
        author = {Vinoth Ganesan},
        title = {AI-Powered Intelligent Water Tap System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {7138-7140},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176600},
        abstract = {Water scarcity is a growing global crisis, aggravated by population growth, climate change, and inefficient water management. This issue necessitates new and efficient conservation techniques. This study provides insight into sophisticated AI-powered intelligent water tap systems that combine computer vision algorithms: YOLO (You Only Look Once) models, with OpenCV image processing and embedded computing on a Raspberry Pi platform.
This system prevents wastage by intelligently controlling usage and optimizing water flow. It happens by using AI real-time monitoring, automation, and categorizing routine household tasks like brushing teeth, washing face, and hands. It modifies water flow hence enhancing sustainability, ensuring water conservation in households. Extensive experimental evaluations highlight significant water-saving potentials, system reliability, and practicality for widespread residential adoption.},
        keywords = {},
        month = {April},
        }