Analysis Of Response Characteristics Of CCTV Surveillance For Fire Detection

The objective of the recent experimental testing of axonX's SigniFire system was to evaluate the effectiveness of the system under a broader spectrum of applications than previously tested by the Navy, NRCC, and at Aberdeen. In so doing, the goal was to further understand the performance sensitivity and limitations of the video image detection (VID) system through testing on a multi-room structure similar to that of a dormitory style orientation performed at Maryland Fire & Rescue Institute (MFRI). The second area of interest was to test the system for large volume applications similar to that of an arena, which was accomplished by testing at the University of Maryland's Cole Field House.

The development of better computers and imaging analysis has given rise to the ability to use a standard Closed Circuit Televisions (CCTV) for more then a standard video surveillance and monitoring system. The ability to use existing surveillance equipment for real time fire detection has prompted research to further understand the applications and feasibility of such a system. The Advanced Volume Sensor Task was created under the US Office of Naval Research, Future Naval Capabilities program, Advanced Damage Countermeasures (ADC) to accomplish this objective over multiple years. The volume sensor concept is intended to have the ability to detect a fire through optical means. Under the program, several types of volume sensors were tested and evaluated which consisted of commercial VID systems in the visible spectrum, long wavelength VID in the 700-1000 nm range, spectral sensors in the ultraviolet (UV), visible, near infrared (NIR), and mid audible frequency range.