To reduce the damage from fire disaster, demand for automatic detection system by using computer vision technique is increasing. But because of false detections that are caused by various situations, it is hard to use in real. In fire detection area, to overcome this problem, the algorithm using several temporal and spatial information of object is proposed. Colour, brightness, and movement inf...

F ood on the stove and grease fires are common responses for fire departments in off-campus housing communities. Like most fires and the associated responses, many could be prevented with a simple awareness to cooking basics – or Cooking 101. The Fire Problem: Cooking fires are a leading cause of fires in any household, but several factors increase the frequency of off-campus cooking incidents;...

Following an increase in the frequency of extreme fire weather in recent years and the subsequent loss of life and damage to property, fire agencies in Australia are under pressure to increase fuel reduction burning. However, at the same time, there is an increasing pressure to reduce the risk of population exposure to smoke. Reconciling these competing demands is a major challenge. Currently, ...

Early warning systems are critical in providing emergency response in the event of unexpected hazards. Cheap cameras and improvements in memory and computing power have enabled the design of fire detectors using video surveillance systems. This is critical in scenarios where traditional smoke detectors cannot be installed. In such scenarios, it has been observed that the smoke is visible well b...

Fire behavior of four aliphatic and two aromatic C, H, O, N, S, and Cl atom containing polymers has been examined. Experiments were performed in three ASTM E 2058 Fire Propagation Apparatuses. The differences in the ignition behavior of polymers were found to be mainly due to differences in the ignition temperature. Chemical effects appear to contribute about 25 % towards the ignition resistanc...

The large amount of computing resources required for the simulation complex natural processes demands a thorough analysis efficiency calculations and conditions that influence it. This study investigates aspects fire conducted on compute cluster. Current simulators based principles computational fluid dynamics are capable to realistically model majority phenomena related fire. Fire simulations ...

Exposure to wildland fire smoke is associated with negative effects on human health. However, these effects are poorly quantified. Accurately attributing health endpoints to wildland fire smoke requires determining the locations, concentrations, and durations of smoke events. Most current methods for assessing these smoke events (groundbased measurements, satellite observations, and chemical tr...

The presence of smoke is the first symptom of fire; therefore to achieve early fire detection, accurate and quick estimation of the presence of smoke is very important. In this paper we propose an algorithm to detect the presence of smoke using video sequences captured by Internet Protocol (IP) cameras, in which important features of smoke, such as color, motion and growth properties are employ...

Optical fire sensors, sometimes called “volumetric” sensors, are complementary to conventional point sensors such as smoke and heat detectors in providing people with early warnings of fire incidents. Cameras combined with image processing software hold the promise of detecting fire incidents more quickly than point sensors and can also provide size, growth, and direction information more readi...

Diverse sensing techniques have been developed and combined with machine learning method for forest fire detection, but none of them referred to identifying smoldering and flaming combustion phases. This study attempts to real-time identify different combustion phases using a developed wireless sensor network (WSN)-based multi-sensor system and artificial neural network (ANN). Sensors (CO, CO₂,...