MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202621063735 A) filed by Abhale Babasaheb Annasaheb on May 20, 2026, for Al-Powered Iot System For Early Detection And Forecasting Of Urban Water Contamination..
Inventors include Ayan Dilawar Shaikh; Om Ekanath Gaikwad; Hariprasad Pradip Bhagat; Tejashri Somnath Mandlik; Sahil Raju Bhalerao; Prakash Pandharinath Rokade; and Abhale Babasaheb Annasaheb.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention relates to an AI-powered IoT system for early detection and forecasting of urban water contamination. The system integrates multiple water quality sensors with an ESP32 microcontroller to continuously monitor parameters including pH, turbidity, temperature, and Total Dissolved Solids (TDS). The collected sensor data is transmitted to a backend server where machine learning algorithms analyze and classify water quality into Safe, Moderate, and Contaminated categories. The invention further includes forecasting models for predicting future contamination risks based on historical data trends. An alert mechanism generates notifications whenever unsafe conditions are detected. The system also provides a web-based dashboard for real-time monitoring, graphical visualization, and historical analysis. The invention offers a cost-effective, scalable, and intelligent solution for urban water quality monitoring and environmental safety management.
Disclaimer: Curated by HT Syndication.
