MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511115800 A) filed by Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh, on Nov. 23, 2025, for 'rescue and target human identifier drone system for disaster relief operations and working method thereof.'
Inventor(s) include Adarsh Kumar Singh; Anshu Tripathi; Aryan Tyagi; and Dr. Seema Garg.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an autonomous unmanned aerial vehicle (UAV) system for search and rescue and target human identification in disaster relief operations. The system integrates an edge-computing controller executing a lightweight, quantized human-detection neural network onboard (e.g., optimized YOLO/SSD MobileNet V3 on Raspberry Pi Zero 2W), an RGB imaging sensor and an infrared thermal imaging subsystem, an inertial measurement unit and GNSS receiver, Visual Simultaneous Localization and Mapping (Visual SLAM) for GPS-denied navigation, and a servo-actuated payload carriage and release assembly. The UAV autonomously detects and geotags candidate human targets through multi-modal fusion and multi-frame validation, generates map-based waypoints via Visual SLAM where GNSS is unavailable, and executes precision payload deployment (gravity, parachute-assisted or tethered) without reliance on cloud inference. The invention enables low-cost, offline-capable SAR missions with demonstrable operational efficacy."
Disclaimer: Curated by HT Syndication.
