MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641061330 A) filed by Sr University, Warangal, Telangana, on May 14, for 'explainable multi-modal artificial intelligence system for air pollution prediction using satellite, meteorological, and iot sensor data.'
Inventor(s) include Sanda Akhila; and Dr. Amit Kumar Yadav.
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: "An explainable multi-modal artificial intelligence system for air pollution prediction is disclosed. The system integrates satellite aerosol optical depth data, meteorological data, and IoT sensor measurements using a transparent fusion mechanism configured to dynamically assign interpretable contribution weights to individual environmental modalities. The system comprises a multi-modal data acquisition module, preprocessing module, multi-branch artificial intelligence architecture, transparent fusion layer, prediction module, and explainability engine. The satellite branch extracts spatial atmospheric pollution patterns, while meteorological and IoT branches analyze temporal environmental behavior and localized pollutant trends. The transparent fusion layer generates weighted environmental representations for pollutant prediction. The explainability engine produces modality-level contribution analysis, feature importance information, and cross-modal interaction explanations in human-readable form. The system generates Air Quality Index predictions, pollutant concentration forecasts, confidence scores, and interpretable analytical outputs suitable for smart-city environmental monitoring, urban planning, and environmental policy applications."
Disclaimer: Curated by HT Syndication.
