Aiming at the special characteristics of tunnel spatial environment and the problems of
confusing smoke and fire in tunnel fires with high real-time detection requirements, an …

Early fire forest detection is crucial for fast and effective intervention. Many research have
been done on this subject starting by sensor based systems and arriving to image …

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 …

Flame recognition is an important technique in firefighting, but existing image flame-
detection methods are slow, low in accuracy, and cannot accurately identify small flame …

Real-time and accurate detection of flame and smoke is an important prerequisite to reduce
the loss caused by fire. There are exists some problems in traditional detection algorithms of …

Fire presents a dangerous occurrence in inhabited places or places occupied by humans.
Apart from very high material damage, it can result in human fatalities. In the past, numerous …

Flame detection is critical to human society. Current flame detection methods have problems
about huge model volume and large parameters. We proposed an improved YOLOv5-light …

Fires can cause extensive damage to human life and property, highlighting the importance
of accurate flame and smoke detection systems. However, current methods for detecting …

Fire hazards bring great harm to human beings and nature. Advances in computer vision
technology have made it possible to detect fire early through surveillance videos. In recent …

Fire is a kind of sudden and destructive disaster which is difficult to rescue. Fire intelligent
early warning can effectively reduce the loss caused by fire. Flame detection, as one of the …