MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049009 A) filed by Dr J Naga Vishnu Vardhan; and Bvrit Hyderabad College Of Engineering For Women, Hyderabad, Telangana, on April 17, for 'life guard uav: drone for disaster management.'
Inventor(s) include Dr J Naga Vishnu Vardhan; Ms. K Aashritha; Ms. T Sahithi; Ms. D S S S Lahari; Ms K Roshini; Mr G Srinivasa Rao; and Mr. T Siva Sankar.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "This project presents the development of a Life Guard UAV (Unmanned Aerial Vehicle) system designed for efficient disaster management using AI-based prediction and real-time monitoring techniques. The system focuses on detecting and predicting natural disasters such as floods and landslides while also assisting in rescue operations. The UAV is equipped with a high-definition camera and integrated with intelligent software to monitor disaster-prone areas from an aerial perspective. The drone captures live aerial footage during operation, and the onboard or connected computing system processes the data using machine learning and computer vision techniques. Environmental data such as rainfall records, terrain conditions, and historical disaster information are analyzed using machine learning models to predict the risk levels of floods and landslides. For real-time monitoring, deep learning models like YOLO are used to detect humans in disaster-affected areas. Additionally, the system incorporates hand-gesture recognition using Media Pipe to identify individuals in distress and requesting help. It also performs crowd density estimation by counting the number of people in a given area, allowing authorities to assess the severity of the situation. The processed information can be displayed on a dashboard or transmitted to rescue teams for quick decision-making and response. By integrating disaster prediction with real-time victim detection and analysis, the proposed UAV system enhances situational awareness and improves the efficiency of rescue operations. This project demonstrates the potential of combining artificial intelligence and drone technology to identify high-risk zones, locate victims quickly, and support faster and more effective disaster response."
Disclaimer: Curated by HT Syndication.
