Flame Detection Characteristics - Bosch AVIOTEC IP starlight 8000 Operation Manual

AVIOTEC IP starlight 8000
There are factors that can influence this kind of visual fire detection. It is important to avoid
obstructions in the field of view. Sometimes obstructions cannot be prevented, e.g. building
construction factors or huge machine parts. In this case it is necessary to analyze whether
there is any need for further video-based fire detection cameras.
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,
e.g. sensitivity settings.
Bosch Sicherheitssysteme GmbH Operation Manual
System Overview | en 13
2016.02 | 1.0 | F.01U.318.200