Fire is a serious disaster that endangers life and property worldwide. Accurate and prompt
fire detection can provide early warning information for firefighting efforts. Deep learning …

Fire accidents have become increasingly frequent and have profound effects on today's
society, leading to injuries, fatalities, and significant economic losses. It is crucial to develop …

For the detection of fire-like targets in indoor, outdoor and forest fire images, as well as fire
detection under different natural lights, an improved YOLOv5 fire detection deep learning …

In the field of fire detection, computational constraints and limited memory resources pose
challenges for robots and edge-embedded devices. Furthermore, some lightweight models …

Fire is a great threat to people's lives and property, and its casualties are in a high position in
all kinds of disasters. So it is of great significance to find and prevent fires. With the rapid …

Fire detection is an important measure to protect public safety, avoid casualties and property
damage. With the increasing development of artificial intelligence algorithms, deep learning …

Computer vision technology has broad application prospects in the field of intelligent fire
detection, which has the benefits of accuracy, timeliness, visibility, adjustability, and multi …

Essential components of early fire warning systems include effective fire and smoke
detection mechanisms. Despite object detection-based technologies demonstrating …

Accurate fire identification can help to control fires. Traditional fire detection methods are
mainly based on temperature or smoke detectors. These detectors are susceptible to …

In the early stages of a fire outbreak, timely and accurate detection is crucial. However,
existing target algorithms struggle to meet the real-time and accuracy requirements for fire …