The aim of this article is to analyze and review the scientific literature relating to the
application of Augmented Reality (AR) technology in industry. AR technology is becoming …

Smoke detection is an advance caution to the unforeseen great damage events. Therefore, it
is required to identify the smoke in the course of initial stages for preventing fire events. A …

Fire detection and extinguishing systems are critical for safeguarding lives and minimizing
property damage. These systems are especially vital in combating forest fires. In recent …

This work considers using camera sensors to detect fire smoke. Static features including
texture, wavelet, color, edge orientation histogram, irregularity, and dynamic features …

Wildfire is the one of the prominent disturbance factor in most vegetation zones throughout
the world, like forests and grasslands. Wildfires present a challenge for ecosystem …

The detection of smoke in the initial stage is vital for preventing fire events. Therefore, we
present a method of smoke heatmap detection using computer vision. First, the smoke …

This work proposes an active learning (AL) methodology to create models for the
segmentation of fire and smoke in video images. With this model, a model learns in an …

In recent years, deep learning has significantly reshaped numerous fields and applications,
fundamentally altering how we tackle a variety of challenges. Areas such as natural …

Industrial smoke emissions pose a significant concern to human health. Prior works have
shown that using Computer Vision (CV) techniques to identify smoke as visual evidence can …

Wildfire is one of the most critical natural disasters that poses a serious threat to human lives
as well as ecosystems. One issue hindering a high accuracy of computer vision-based …