Aiming at the problems of low accuracy and long detection time of traditional fire detection
algorithms, a fire detection method DAI-YOLO based on improved YOLOv3 is proposed. On …

Recently, video-based fire detection technology has become an important research topic in
the field of machine vision. This paper proposes a method of combining the classification …

Accidental fire outbreak threatens people's life and property safety, and it is of great
significance to study fire detection and alarm early. The detection range of traditional fire …

Fire detection can effectively prevent the occurrence of fire. For the current fire detection
methods, traditional image processing techniques such as grayscale image processing and …

Aiming at the problem that the existing target detection algorithms are difficult to detect
sudden fire with high precision in real-time in the complex forest environment, an improved …

In view of the poor performance of the commonly used network models on the self-made fire
dataset and the real-time requirements for the fire detection, we propose an improved fire …

Fire is a frequent and hugely harmful disaster accident in people's daily life, which will
seriously threaten people's life and property safety. Therefore, fire detection is very important …

Fire is a major disaster in the world, and the fire detection system should accurately detect
the fire in the shortest time to reduce economic loss and ecological damage. Traditional …

Forest fire causes irreparable damage to human beings and ecological environment with the
big concealment and the difficulty to fight. However, conventional fire warning technologies …

Fire detection is the most important task to prevent early fire occurrence. Flame detection
and identification is an important task of fire detection. Using traditional image processing …