The process of oxidation of any material in the exothermic process of combustion, releasing heat and light as byproducts, is called Fire. The light parameter and the color of the flame help in detecting fire. Fire detection using color information has many applications in computer vision and other domains. Our color model based method used for fire detection has many advantages over conventional methods of smoke detection etc., such as simplicity, feasibility and understandability. In order to enhance the performance parameters of fire flame detection based on a live video stream, we propose an effective color model based method for fire detection. Each and every pixel is checked for the presence or absence of fire using color features, and periodic behavior in fire regions is also analyzed. Dynamic boundary check is also done to detect the edges of the fire Region of Interest (ROI). Candidate fire regions are detected using the chromatic and dynamic measurements. This project is implemented using the Open CV module.
Triveni Bethapudi , Siva Mounika Kapu , Jeen Rahelu Bethapudi "Fire Detection Using Digital Image Processing" Iconic Research And Engineering Journals Volume 3 Issue 11 2020 Page 238-241
Triveni Bethapudi , Siva Mounika Kapu , Jeen Rahelu Bethapudi "Fire Detection Using Digital Image Processing" Iconic Research And Engineering Journals, 3(11)