• Pratim Sen
• Dr. Divya T.L

Forest fires detection algorithms is an important issue, because some of the objects have the same features with fire, which may result in false alarms. It’s difficult to use fire detection sensor inside the forest. Using fire sensor in forest is very costly. This project will present a forest fire detection method. Firstly, forest fire video analyzer will resize the video. Secondly, it will be converting the particular moving regions from RGB to HSV color space. It will notify the forest department after fire detection through mail. After the fire detection an alarm will be beeping. In this project image processing will be used for modern days digital videography, the digital camera can give clarity and excellent videography, the response time of image processing methods is better than the fire sensor systems. Forest fire video analyzer will be using Object Based Image Analysis algorithm (OBIA) in this project. Python programming language and OPENCV image processing tool will be used for converting images from RGB to HSV. Forest fire video analyzer will also use NUMPY image processing tool for flip the image into a proper direction.

UAV devices, RGB (Red Green Blue), HSV (Hue Saturation Value), Alarm, Notification Mail

"Design And Development of Forest Fire Video Analyzer", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.d846-d850, June-2021, Available :http://www.jetir.org/papers/JETIR2106529.pdf

"Design And Development of Forest Fire Video Analyzer", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppd846-d850, June-2021, Available at : http://www.jetir.org/papers/JETIR2106529.pdf