MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641050156 A) filed by K. Ramakrishnan College Of Engineering on April 20, 2026, for Debris Mapping System.
Inventors include Dharini K; Hailey Benitha R; Jayashree S; Prithi B; and Ms. Elamathi E.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: DEBRIS MAPPING SYSTEM The present invention discloses a Debtis Mapping System (100), an AI-based rescue plattorm that detects trapped survivors and determines the optimal debris removal sequence following a landslide. The system is housed within a single ruggedized sensing panel integrating five sensor modules: a Vibration Sensor Array (9) for bio-resonance detection of survivor breathing and heartbeat, an IR Emitter (16) with Thetmal Reflex Detector (17) and Thermal Analysis Unit ( 18) for body heat signature mapping, a C02 Gradient Sensor (11) with Gradient Triangulation Unit (14) for survivor bearing estimation, an Internal Radar Scanner (20) for subsurface void space mapping, and a Tilt Sensor (22) with Micro Pressure Sensors (24) and Load- Bearing Analysis Link (23) for real-time structural collapse prediction. All sensor outputs are fused on a Raspberry Pi through a Bayesian multi-sensor engine to compute four scores per debris block, namely Survival Probability (S), Structural Risk (R), Debris Removal Time (T), and Accessibility (A), which are processed by a Genetic Algorithm to generate the optimal debris removal sequence. The Debris Stability Alert (21) is triggered when the computed Factor of Safety falls below the safe threshold. The system is powered entirely by an internal rechargeable lithium battery pack and integrates with GPS and GIS mapping, drone aerial survey, excavator controls, and emergency services networks, delivering real-time guided rescue operations with no specialist expertise required.
Disclaimer: Curated by HT Syndication.
