Abstract
Abstract: As a type of natural resource, forests are vital for our existence. Wildfires are a significant threat to humans and other living beings, with the development of satellite technology it can be continuously monitored and controlled. Accurate real-time monitoring of wildfires is not only an important part of forest fire prevention, but also an important means of effectively controlling the spread of wildfires and reducing economic losses. Therefore, we need a highly mobile early forest fire warning system to ensure the safety of forest resources. In view of this, we propose a forest fire monitoring method that uses convolutional neural network to detect fire from images which can monitor the presence of fire in the forest arena.
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