Intellectual Property India Publishes Patent Application for 'Tri-Volt: UAV-Based Multi-Sensor Fire Detection and Prediction System with Real-Time Cloud Mapping' Filed by Rahul Krishnan R P; Rahul N; and Dr. Anusudha T. A.

MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048090 A) filed by Rahul Krishnan R P; Rahul N; and Dr. Anusudha T. A., Chennai, Tamil Nadu, on April 15, for 'tri-volt: uav-based multi-sensor fire detection and prediction system with real-time cloud mapping.'

Inventor(s) include Rahul Krishnan R P; Rahul N; and Dr. Anusudha T. A..

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: "Not only are wildfires increasing in frequency, but they are also increasing in severity, with numerous impacts on biodiversity, human habitation, and climate on the Earth. The promptness of action is highly pertinent to the minimization of the fire damage and this will depend on the fire detection at the earliest stage. But the conventional methods of monitoring fires such as satellites and ground-based sensors have drawbacks that include delayed data collection, poor spatial resolution, and inaccessibility of far-flung locations. The study will integrate the Unmanned Aerial Vehicles (UAVs) and fire detectors. It may be a low-cost, real-time and flexible way of monitoring the environment and managing the disaster. Actually, drones are able to record an image and video of a bird. By doing so they are able to do surveillance even in the most remote and inaccessible locations. In addition, there are numerous benefits of drones in fire-fighting. To begin with, they are far less expensive to use as compared to traditional airborne firefighting equipment. The other is that they can be fitted with thermal cameras, gas sensors and GPS modules to identify any heat anomalies, smoke plumes, and gases that are typical of fire outbreaks. Microcontrollers built inboard also form part of the architecture of the system to interpret sensor data, wireless communication modules to transmit in real time and ground control stations where data is displayed and decisions are made. The use of infrared (IR) imaging to identify temperature differences in a fire is one of the significant features of this method. Thermal data is also gleaned using both image processing technologies and machine learning to sometimes even identify fire patterns despite visualized sources of heat such as factory emissions or sunlight surfaces possibly being mixed."

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