Flame Detection Characteristics; Smoke Detection Characteristics - Bosch AVIOTEC IPSTARLIGHT 8000 Operation Manual

AVIOTEC IP starlight 8000
3.2.1

Flame detection characteristics

Flames will be analyzed by means of their flame color. White and orange are the basis colors
for the algorithm to split off the video image into important and unimportant areas. Further
flame colors will not be considered, for example a blue flame might not be detected.
Another algorithm characteristic to identify flames is the flickering of a flame. Objects with a
similar movement pattern might cause false alarms, e.g. loose fluttering objects. The video-
based fire detection offers subsequent adaption of flame detection settings for this purpose.
3.2.2

Smoke detection characteristics

The video-based fire detection is optimized for smoke of smoldering fires. The algorithm
analyzes smoke based on physical characteristics. Typically a plume of smoke is formed in a
regular upward motion of smoke at the same position. This is characterized by a thick column
of smoke which is directly visible. Speed and angle of rising smoke may vary. The maximum
detectable speed of upward motion is 4.2% of picture height per second. Only color-neutral
smoke (white, grey, black) will be detected by the smoke algorithm.
The area in which the smoke density decreases is called ambient smoke. The smoke motion is
not directly visible. Ambient smoke will not be detected.
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Minimum smoke width and motion speed
A minimum rising speed of smoke is needed together with a minimum width of the smoke
plume to be detected by the video-based fire detection. The minimum motion speed of smoke
is 0.7% of the picture height per second and the minimum width of a smoke plume is 2.3% of
Bosch Sicherheitssysteme GmbH
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Ambient smoke
Smoke plume
Fire
Operation manual
System Overview | en 15
2017.06 | 6.0 | F.01U.318.200