In the context of large-scale fire areas and complex forest environments, the task of
identifying the subtle features and aspects of fire can pose a significant challenge for the …

In this paper, the FireDetection system is presented, which is designed to provide a robust
and easily deployable solution for early fire detection. The system proposed uses the …

Forest fires result in severe disaster, causing significant ecological damage and substantial
economic losses. Flames and smoke represent the predominant characteristics of forest …

Given the limited computing capabilities of UAV terminal equipment, there is a challenge in
balancing the accuracy and computational cost when deploying the target detection model …

One of the major responsibilities for forest police is forest fire prevention and forecasting;
therefore, accurate and timely fire detection is of great importance and significance. We …

For the problems of fire detection models based on computer vision, such as long inference
and training time, too many model parameters and low detection accuracy. We propose ES …

Fire is a very harmful disaster, which seriously threatens people's life and property safety, so
the detection and early warning of fire is very important. With the development of deep …

To tackle the problem of missed detections in long-range detection scenarios caused by the
small size of forest fire targets, initiatives have been undertaken to enhance the feature …

Fire is one of the most common disasters for human beings. It is also one of the disasters
that cameras can easily catch. In order to detect a series of building fires efficiently, a fire …

The warning of fire and smoke provides security for people's lives and properties. The
utilization of deep learning for fire and smoke warning has been an active area of research …