Early Warning System for Forest Fires using Surveillance Drone
Megha Kolhekar , Payal Chatterjee , Minal Kale , Suyash Mali , Chetan Velonde
DOI : 10.46335/IJIES.2023.8.3.15
Abstract –Forest fires are one of the major reasons of concern in many regions in the world, causing widespread damage to both mankind and the ecosystem. The development of an efficient system for the early detection of forest fires is crucial to enable rapid response and minimize the damage caused. To address this issue, an early warning system for detection of forest fires has been proposed in this paper. The system comprises of a surveillance drone equipped with a First Person View (FPV) camera and a Machine Learning algorithm that can detect potential fire outbreaks in the forest. The Machine Learning algorithm with the help of Image processing and Computer vision technology, detects the occurrence of forest fire from the FPV camera video feed. If the algorithm detects a fire outbreak, an alert is sent to the forest rangers, allowing them to quickly respond and prevent the fire from spreading. The proposed system has the potential to revolutionize forest fire management by providing a reliable and efficient early warning system for forest fires.
