MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641063949 A) filed by Professor K Swathi, Tirupati, Andhra Pradesh, on May 20, for 'ai-integrated iot-based multi-sensor smart water quality monitoring and predictive analytics system with real-time cloud visualization.'
Inventor(s) include Professor K Swathi.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an IoT-based multi-sensor water quality monitoring system integrated with artificial intelligence and cloud computing for real-time analysis and predictive assessment of water quality. The system comprises a plurality of sensors for measuring parameters including pH, temperature, turbidity, and total dissolved solids, connected to a microcontroller unit configured to collect, process, and transmit data to a cloud platform. The system utilizes a cloud- based dashboard for real-time visualization, historical data storage, and remote accessibility. A Water Quality Index (WQI) is computed using weighted parameters based on standardized guidelines to provide an overall assessment of water safety. Additionally, a machine learning algorithm, namely Isolation Forest, is employed for anomaly detection to identify abnormal water conditions and potential contamination events. The system further includes automated alert mechanisms to notify users when parameter thresholds exceed permissible limits. The invention provides a cost-effective, scalable, and intelligent solution for continuous water quality monitoring across domestic, industrial, and environmental applications, thereby enhancing public health safety and resource management."
Disclaimer: Curated by HT Syndication.
