MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202641092213 A) filed by Rajalakshmi Engineering College on July 29, 2026, for Ai-Based Multi-Sensor Marine Pollution Detection And Severity Prediction System Using Sar Satellite Imagery.
Inventor includes Dr. J. Senthil Murugan.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: This invention introduces an automated, highly integrated methodology for real-time monitoring, geometric boundary delineation, and hazard forecasting of marine oil spills and chemical pollution. Designed around a multi-sensor telemetry framework, the system bridges the gap between macro-scale observation and local ground-truth by fusing wide-area orbital microwave radar data with high-frequency chemical analysis performed directly within the marine water column.The physical infrastructure centers on a structurally balanced surface flotation platform engineered for autonomous power generation and continuous environmental tracking. This platform serves as the structural anchor for a fully submerged, multi-sensor apparatus positioned below the waterline to evaluate water quality parameters, providing the direct chemical validation necessary to confirm whether surface anomalies detected from space are genuine toxic events. Simultaneously, an integrated high-speed telecommunications link actively streams high-resolution Synthetic Aperture Radar imagery from orbital satellites, exploiting surface wave-dampening characteristics to map pollutant coverage regardless of cloud cover or light conditions.Both the orbital radar datasets and the in-situ marine sensor streams feed directly into a ruggedized, localized processing core. This edge-computing system runs specialized statistical filtering routines to eliminate ocean clutter and look-alike calm zones before passing the cleaned data to multi-variable prediction algorithms that calculate estimated spill volumes and tracking vectors. The resulting intelligence is continuously populated onto a graphical geospatial dashboard, converting complex multi-modal data streams into intuitive severity scales and automated routing recommendations to accelerate maritime clean-up and containment strategies.
Disclaimer: Curated by HT Syndication.
