Publication

Abstract : The vital reason behind environmental damage, species extinction, contaminated air is Forest fires. An efficient monitoring system can help us to detect and prevent forest fires such that the damage is prevented. Because wildfires are harder to identify in their initial stages, a quicker and more precise detection approach might help decrease the incidence of damage they did. This research study describe a strategy for automated and advanced fire detection built on such systems with greater level of dependability and require no service or human contact. The proposed study focuses on demonstrating variety of algorithms that are used for the wildfire detection and provide the best algorithm that can be as effective as a resultant. Nevertheless, this research work reviews some of the key deep learning methods such as CNN, VGG19 and DenseNet that can be used to build a forest fire monitoring system.