An automatic fire detection and warning system under home video surveillance

Devastating fire is a strong interest in home monitoring system. Fire detection; and its information utilization using image processing and information technology can be a great hope to reduce the devastation of fire mishaps. However, there are many systems with state-of-the-art for fire detection, but false signal is still a challenge to avoid. In this paper, an automatic fire detection and warning system under home video surveillance is presented in order to identify fire from video camera data and warn the concerned people accordingly. The planned system undergoes a low computational time taking fire detection approach using RGB color space, and it warns the people dynamically than conventional alarming unit. The designed system will be able to cope up with the present conventional fire detection approach under security surveillance system. The used fire detection approach has been tested under different scenarios is also presented to substantiate the accuracy of the system.