MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202621042294 A) filed by Prof. Punam Sawale; Aditi Prakash Kadam; Aarya Mohan Nate; Venkatesh Shivprasad Jaju; Kashyap Jeevan Janve; and Yash Deepak Kadam on April 02, 2026, for Cloudchaser: Intelligent Prediction Of Motion Of Clouds Based On Diffusion Using Satellite Imagery..
Inventors include Prof. Punam Sawale; Aditi Prakash Kadam; Aarya Mohan Nate; Venkatesh Shivprasad Jaju; Kashyap Jeevan Janve; and Yash Deepak Kadam.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The present invention relates to an intelligent cloud motion prediction system that uses satellite imagery and machine learning techniques to forecast atmospheric cloud dynamics. The system processes sequential data from geostationary satellites such as INSAT-3DR and INSAT-3DS and applies preprocessing techniques to improve data quality. Temporal sequences are created from the processed imagery and examined using deep learning models to capture both spatial and time-related characteristics of cloud movement. A diffusion-based predictive model estimates future cloud states, allowing for probabilistic forecasting of cloud location and structure. The system generates visual outputs illustrating predicted cloud motion, which helps users understand atmospheric changes effectively. The invention combines data acquisition, preprocessing, feature extraction, time modeling, prediction, and visualization into one cohesive system. It supports scalable and efficient deployment for applications including weather forecasting, disaster management, aviation planning, and climate analysis. This system enhances short-term prediction accuracy while reducing reliance on computationally intensive traditional forecasting methods, providing a practical solution for analyzing cloud motion.
Disclaimer: Curated by HT Syndication.
