Citation:

V. Mohandas, Dr. S.M.H. Sithi Shameen Fathima, 2023. "Emerging Methods for Early Detection of Forest Fires Using Artificial Intelligence", ESP Journal of Engineering & Technology Advancements 3(1): 57-61.

Abstract:

Forest fires are one of the natural disasters that happen the most frequently today. Forest fires are a matter of concern because they cause extensive damage to environment, property and human life. By doing this, the region’s resources and flora and fauna may both be saved. In particular, we proposed a platform of Artificial Intelligence. The use of computer vision techniques for smoke and fire detection and recognition based on still photos or video input from the cameras. This will enable the video surveillance systems on forest to handle more complex situations in real world. 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 and test set.

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Keywords:

Artificial intelligence, Machine learning, Forest fires, Algorithms.