MUMBAI, India, June 16 -- Intellectual Property India has published a patent application (202611054936 A) filed by Amit Kumar Sharma; Aditya Gupta; and Anushka Gupta, Ghaziabad, Uttar Pradesh, on April 30, for 'hydropulseai - ai-powered water pollution detection and forecasting system using computer vision, gemini ai and time-series analysis.'
Inventor(s) include Amit Kumar Sharma; Aditya Gupta; and Anushka Gupta.
The application for the patent was published on June 5, under issue no. 23/2026.
According to the abstract released by the Intellectual Property India: "This invention presents HydroPulseAI, an AI-powered water pollution detection and forecasting system designed for real-time monitoring, predictive analysis, and automated environmental reporting. The invention combines computer vision techniques, large language models (Gemini AI), and time-series forecasting algorithms to detect visual indicators of water pollution such as foam, floating debris, and discoloration while predicting future water quality parameters. Multi-algorithm detection based on HSV, LAB, and YUV color-space analysis identifies pollution indicators with high accuracy, while forecasting models including Prophet, Gradient Boosting, and XGBoost predict water quality trends. The system integrates live environmental data from EPA Water Quality Portal and USGS repositories and provides early-warning alerts, impact analysis, and automated PDF reporting through an interactive dashboard. The invention improves monitoring speed, reduces operational cost, enables scalable environmental surveillance, and supports proactive pollution management."
Disclaimer: Curated by HT Syndication.
