DRONE HUNTER AND FIRE USE FIRE EXTINGUISHER BALL-BASED IMAGE PROCESSING AND MACHINE LEARNING METHODS

Abstract

Burning activities are still common in Indonesia, but the handling by the government has not been able to maximize performance in extinguishing fires that are difficult to achieve with standard equipment. The drone that the author developed is named Zerologic which is designed to use a remote monitoring system with machine learning algorithms and image processing methods in finding hotspots using a webcam camera. This camera sends object data which is then processed on the Raspberry Pi 4 using the OpenCV Python software. Besides being designed to search for hotspots, this drone can also minimize the spread of smoke by using a fire extinguisher ball that functions as a fire extinguisher that will be carried directly by the drone. ZEROlogic drones are useful for making it easier for forest firefighters to handle forest fires by finding and extinguishing hotspots that are difficult to reach by humans. In addition to being able to search for and search for fire, this drone ZEROlogic goes directly to the hotspots.

Keywords: Drone; Fire Extingusher Ball; Image Processing; Machine Learning