• Nandeesha S B
• Chetan G Arkachari
• Chethan B J
• Anil K S
• Asst Prof.MD.Irshad Hussain B

Every year, thousands of forest fire across the globe cause disasters beyond measure and description. There are a huge amount of very well studied solutions available for testing or even ready for use to resolve this problem. People are using sensors to detect the fire. But this case is not possible for large acres of forest. In this paper, we proposed a new approach for fire detection, in which modern technologies are used. In particular, we proposed a platform of Artificial Intelligence. The computer vision methods for recognition and detection of smoke and fire, based on the still images or the video input from the cameras. Deep learning method “convolution neural network” can be used for finding the amount of fire. This will enable the video surveillance systems on forest to handle more complex situations in real world. The accuracy is based on the algorithm which we are going to use and the datasets and splitting them into train set.

Fire detection, image classification, OpenCV, deep learning, and Convolutional Neural Network.

"AI Based Forest Fire Detection And Alert System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.h465-h471, July-2023, Available :http://www.jetir.org/papers/JETIR2307758.pdf

"AI Based Forest Fire Detection And Alert System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. pph465-h471, July-2023, Available at : http://www.jetir.org/papers/JETIR2307758.pdf