Automatic Process with Real Time Fire Detection in Close Surrounding Environment

Abstract

The digital video recording (DVR) closed circuit television (CCTV) system is quickly becoming one of the most accepted security, surveillance documentation, and monitoring in service today. In proposed image processing technique for automatic real time fire, smoke and temperature detection in closed surrounding environment. To avoid the large scale of damage of fire occurred in the closed surrounding environment, it is necessary to have a system to minimize and to discover the incident as fast as possible. However it is impossible to keep the human observation of Closed-Circuit Television (CCTV) in closed surrounding environment for 24 hour. So if the fire, smoke and temperature detection system through image processing can warn fire state, it will be very convenient, and it can be possible to minimize damage even when people is not in front of monitor. Current fire detectors are prone to errors because smoke detectors can be set off even with the smoke from a cigarette and other types of smoke that isn't produced by fire. Fire detection is very crucial for the safety of the humans. By using different image processing techniques fire detection can be possible. Smoke is the good identifier of fire. By analyzing the features and other characteristics at present in a smoke, temperature detection of fire is done.  Currently now a day’s closed circuit television systems (CCTV) are already installed in many public places for survey purposes. The feedback time is faster as the camera does not need to wait for the smoke or heat to dispose. The CCTV system can recognize a large area to create a higher possibility of fire identification faster as possible. As fire accident makes great disposes to our life and regions, fire flame detection is an important issue of modern security sensing system.