Fire detection and alarm system is fully concerned for safety. And convolutional neural
network (CNN) has been introduced into fire/smoke detection based on video/image …

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 …

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 …

Forest fires have emerged as a significant threat to the environment, wildlife, and human
lives, necessitating the development of effective early detection systems for firefighting and …

Forest fire detection is a very challenging problem in the field of object detection. Fire
detection-based image analysis have advantages such as usage on wide open areas, the …

Ship fires are one of the main factors that endanger the safety of ships; because the ship is
far away from land, the fire can be difficult to extinguish and could often cause huge losses …

A wildfire is an uncontrollable fire that arises outside of a specific focus, damages property,
and poses a threat to human life and health. Thousands of fires are started every year for a …

With the advancement of computer vision, artificial intelligence, and remote sensing
technologies, deep learning algorithms are increasingly used in terrestrial, airborne, and …

Forest fires cause great consequences such as ecosystem imbalance, air quality
deterioration, as well as direct impacts on human life. Early detection of a forest fire can help …

The technologies and models based on machine vision are widely used for early wildfire
detection. Due to the broadness of wild scene and the occlusion of the vegetation, smoke is …