MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641083392 A) filed by Thiagarajar College Of Engineering on July 07, 2026, for System And Method For Distributed Multi-Modal Bio-Signal Triangulation And Localization Of Trapped Human Survivors Using Micro-Spider Robotic Swarm Networks.
Inventors include Emrald Regin H R; Kaaviyaa I; Deenu Priyanka S; Abiselsiya P; Muthu Lakshmi K; Catherine S P; Sri Harini M; P. S. Manoharan; B. Ashok Kumar; and L. Ashok Kumar.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: Disclosed is a bio-signal triangulation micro-spider robot network (100) for post-disaster human detection, comprising a plurality of micro-spider robotic units each equipped with a sensor array (112) configured to detect carbon dioxide concentration, ambient temperature variation, micro-vibrations in the heartbeat frequency range, and acoustic signals corresponding to human distress. Each unit includes a microcontroller (110), a locomotion assembly with micro-geared legs, a wireless communication module, and a battery. The plurality of units forms a self-organizing mesh communication network (120) enabling inter-unit data exchange and relay to a base station computing unit . The base station computing unit performs cooperative triangulation using RSSI-based distance estimates from a minimum of three correlated reporting units to compute an estimated victim location in three dimensions. A confidence scoring module computes a weighted detection confidence score based on co-occurrence of multi-modal bio-signal detections and confirms victim presence when the score exceeds a predefined threshold. The system generates real-time outputs including victim coordinates, depth estimate, confidence percentage, and live audio stream. Additional features include real-time debris heat map generation, micro-oxygen capsule delivery, and adaptive threshold adjustment. The present disclosure also relates to a method (200) for post-disaster human detection by way of the system (100).
Disclaimer: Curated by HT Syndication.
