Intellectual Property India Publishes Patent Application for 'Deep Learning Based System And Method For Automated Oil Spill Detection And Segmentation' Filed by IIMT College of Engineering

MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511114703 A) filed by IIMT College of Engineering, Greater Noida, Uttar Pradesh, on Nov. 20, 2025, for 'deep learning based system and method for automated oil spill detection and segmentation.'

Inventor(s) include Dr. Ajay Kumar Sahu; Mr. Bittu Kumar Aman; and Mr. Abhishek Chaudhary.

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: "Disclosed is a deep learning based system (100) for automated oil spill detection and segmentation, the system (100) comprising: an input module (102) configured to acquire remote sensing imagery; a preprocessing module (104) coupled to the input module (102), and configured to normalize and calibrate image; a deep learning engine (106) coupled to the preprocessing module (104), and configured to employ an encoder-decoder architecture using Convolution Neural Networks (CNNs), U-net, or transformer based models; a decision fusion layer (108) configured to combine segmentation outputs from multi-modal sources; and an output module that generates georeferenced segmented masks and spill metrics."

Disclaimer: Curated by HT Syndication.