MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202611022896 A) filed by Panipat Institute Of Engineering And Technology, Samalkha, Haryana, on Feb. 26, for 'ai-enabled multisensor geospatial intelligence system for automated detection and mapping of subsurface cavities in hilly terrains.'
Inventor(s) include Prof. Poonam Panwar; and Prof. Arvind Kumar Lal.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an artificial intelligence (AI) enabled multisensor geospatial intelligence system for automated detection, analysis, and mapping of subsurface cavities in hilly or mountainous terrains. The system integrates multispectral and hyperspectral imaging, light detection and ranging (LiDAR), thermal and infrared sensing, and radar-based data acquired from spaceborne, airborne, and ground-based platforms, which are processed and fused through a centralized or edge-based analytical engine. Machine learning and deep learning models analyze geological, spectral, thermal, and structural anomalies indicative of natural caves, artificial tunnels, and concealed underground voids. The system generates georeferenced cavity probability maps and two-dimensional, three-dimensional, and volumetric terrain visualizations, and may autonomously deploy aerial platforms for targeted verification scanning. The invention provides an automated, scalable, and high-accuracy solution that enhances situational awareness and reduces reliance on manual reconnaissance across security, geological, disaster-response, and terrain monitoring applications."
Disclaimer: Curated by HT Syndication.
