MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641063346 A) filed by Vel Tech Rangarajan Dr. Sagunthala R&D Institute Of Science And Technology, Chennai, Tamil Nadu, on May 19, for 'adaptive edge-ai solar environmental hazard prediction platform.'
Inventor(s) include P. K. Dhal; Dev Sharma; G Mohit; and Chitaranjan Nongmaithem.
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: "The present invention discloses an adaptive edge-AI based autonomous environmental hazard prediction and adaptive sensing platform operating using renewable solar energy and intelligent edge computing architecture for real-time environmental monitoring and predictive hazard analysis. The platform comprises a renewable energy subsystem, edge-intelligent processing architecture, adaptive multi-sensor environmental monitoring framework, predictive environmental hazard engine, adaptive sensor fusion mechanism, and hybrid cloud-edge communication system. The invention continuously monitors pollutant concentrations, atmospheric conditions, oxygen levels, sound intensity, and environmental anomalies while performing localized environmental analytics, adaptive threshold management, anomaly detection, and environmental risk classification. The platform further incorporates intelligent energy optimization for autonomous low-power operation under variable renewable energy conditions. Real-time environmental visualization, wireless communication, predictive alerts, graphical analytics, and AI-assisted environmental interaction improve environmental awareness and hazard response. The invention provides a scalable, self-sustaining, intelligent, and adaptive environmental monitoring ecosystem for industrial, urban, rural, smart-city, transportation, and environmental applications."
Disclaimer: Curated by HT Syndication.
