Open AccessReal Time Fire Detection System with Image Processing
Author(s) -
Thu Soe Min,
Thein Oak Kyaw Zaw,
Wai Yin Wong
Publication year - 2021
Publication title -
international journal on robotics, automation and sciences
Language(s) - English
Resource type - Journals
ISSN - 2682-860X
DOI - 10.33093/ijoras.2021.3.4
Subject(s) - fire detection , fire fighter , rgb color model , computer science , image processing , computer vision , artificial intelligence , remote sensing , real time computing , engineering , image (mathematics) , architectural engineering , geography , medicine , environmental health
Fire detectionsystemby image processing is a growing research in this era. There are many methods used to detect fire out, butstill need to develop an accurate method to detect fire without false alarms. This is due to the fact that many methods used RGB colour mode for detection. In this paper, mainly focuson detecting the fire effectively using thermal video from a thermal camera while in the same time the system will alert the people if fire was detected,and also observed the speed of the fire.This will enormouslybenefitto the fire fighters.With thissystem, thefire can be detected effectively while alerting the people and giving valuable information to the fire fighters fortheir job more effectively.