The scenario in many industries is a fire somehow gets started and when large enough, the smoke or the flames trigger the sensor on the ceiling. The sensor once triggered will send an alert to the control room which will dispatch a vehicle or alert the closest engineer to verify the status of the alarm signal.
axonX has developed an extension to any fire detection system with its advanced Signifire IP camera which has built-in video smoke and fire detection. This vision-based artificial intelligence is made possible by the preprogrammed algorithms. The cameras are able to see and detect fire without the use of thermal imaging.
The system is based on four patent pending algorithms.
* Ambient smoke – detects smoke that has stratified, gathering at the ceiling, causing blooming around light fixtures.
* Smoke plumes – looks for characteristic shape and movement of a smoke plume.
* Fire – detects flame flickers in line of sight of the camera.
* Reflected fire – detects flames blocked by obstructions or outside the field of view by detecting the reflected fire light by ambient glow.
The system software is designed to manage large sites and areas from any computer, even from the Internet. This enables users to detect any fire hazards quickly and easily. The software runs on a standard PC workstation connected to the network, the system is not centred on the cameras, but rather on the assets under protection.
With the Fire Detection Camera having IP enabled features, it allows remote recording which allows playback from before the incident started to see the sequence of events leading up to the start of the fire.
The axonX design is based on a new paradigm: rather than focusing on getting people out and letting buildings burn but getting the fire out fast and saving the enterprise.
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