Design Criteria:
| System Architecture The VSD system comprises of a high-grade industrial computer, mouse, keyboard and VGA monitor. Proprietary high performance video grabbers are housed within the computer. The VGA monitor will display the digitised video image from any one of the eight cameras in detection mode, all control and set-up graphics, zonal layout information, pre-alarm and full alarm information, zone and camera identification in alarm |
Where Video Smoke Detection fits into the detection stsyem. |
Operation: SAEVU Video Smoke Detection (VSD) system is based on sophisticated computer analysis of the video image seen by the CCTV camera (sensor). Using advanced image-processing technology and extensive detection algorithms (and known false alarm phenomena); the VSD can automatically identify the distinct characteristics of smoke patterns. The fire detection industry has an abundance of known smoke signatures and all of these are built into the system to give an accurate decision on whether smoke is present. The VSD is so accurate in its analysis that it can even differentiate between steam and smoke. The VSD system uses standard CCTV equipment linked to a self contained processing system which is capable of recognising small amounts of smoke within the video image and alerting the system operator both at the processor and by a variety of remote outputs.
The VSD system employs highly complex algorithms to process video information from up to eight cameras simultaneously. Under normal conditions with all eight cameras connected the system achieves a 5Hz-frame rate for each channel. The video hardware is designed to allow simultaneous real time digitising of all eight images, which means that the system does not multiplex images and, therefore, no information is lost or delayed. All alarm condition images are logged, time & date stamped, and stored within the system’'92s memory. The SAEVU VSD system detects smoke rapidly by looking for small areas of change within the image at the digitisation stage and only passing these pixel changes to the main processor for further filtering. The video information is passed through a series of filters, which seek particular characteristics that can be associated with smoke behaviour. Further analysis is then carried out on the relationships between the filtered characteristics to determine whether all the conditions have been met for the system to confidently predict the presence of smoke. The system installer has the ability to vary the amount of smoke signal, and the length of time that the smoke exists before an alarm condition is raised to cater for situations where there may be background smoke present. The installer may also divide the video image into zones and programme the system to alarm only if smoke is present in two or more zones. |
Features: Features & Benefits |
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