To prevent fire accidents on construction site and improve the accuracy of fire detection, an
improved YOLOv3-tiny method (I-YOLOv3-tiny) is proposed in this paper. Although the …

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 …

To solve the problems of low recognition accuracy and large amounts of computation
required in forest fire detection algorithms, this paper, aiming to make improvements in these …

Authorities and policymakers in Korea have recently prioritized improving fire prevention
and emergency response. Governments seek to enhance community safety for residents by …

Forest fires have a very bad impact on the natural environment and human beings. To
protect the environment and enhance human safety, it is important to detect the source of a …

The layout of a city is complex, and indoor spaces have thousands of aspects that make
them susceptible to fire. If a fire breaks out, it is difficult to quell, so a fire in the city will cause …

Many difficulties are encountered during evacuation from construction sites in hazardous
situations, which may lead to severe fatalities. These fatalities, especially caused by fire …

Forest fires are one of the world's deadliest natural disasters. Early detection of forest fires
can help minimize the damage to ecosystems and forest life. In this paper, we propose an …

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 the construction of new smart cities, traditional fire-detection systems can be replaced with
vision-based systems to establish fire safety in society using emerging technologies, such as …