MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511115794 A) filed by Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh, on Nov. 23, 2025, for 'ai-enabled iot system and method for real-time water quality monitoring and contamination source identification.'
Inventor(s) include Shubham; Vaibhav Saraff; Sakshi Patel; Shreya Pal; and Dr. Ruchi Gupta.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an AI-enabled Internet-of-Things system and method for real-time water quality monitoring and contamination source identification. The system integrates a multi-parameter sensor assembly for measuring pH, turbidity, TDS, conductivity, dissolved oxygen, and temperature, coupled with a high-resolution analog-to-digital converter and a microcontroller configured for pre-processing, automated calibration, and multi-sensor fusion. An edge-computing node executes lightweight anomaly detection, while a wireless communication interface transmits data to a cloud platform employing a deep-learning classifier trained to identify contamination sources including industrial discharge, microbial activity, agricultural runoff, and sewage ingress. The invention enables continuous monitoring, spatial analysis, and real-time alerts with high accuracy, making it suitable for municipal pipelines, industrial effluent monitoring, groundwater assessment, agricultural irrigation systems, and remote water bodies. The integrated hardware-AI framework ensures improved stability, autonomous operation, and rapid contamination diagnosis, addressing critical water-quality challenges in India."
Disclaimer: Curated by HT Syndication.
