44 en | Adjustment of detection settings AVIOTEC IP starlight 8000
2019.01 | 10 | F.01U.318.200 Operation manual Bosch Sicherheitssysteme GmbH
Sensitivity
low mid high
Smoke High contrast and
colored objects in
the video image
cause false alarms.
(recommendation:
set also Verification
time [s] to 20s)
Slow moving objects
(e.g. cranes, slow
vehicles, automatic
doors) cause false
alarms.
(recommendation:
set also Verification
time [s] to 20s)
Default setting
Flames If the setting mid is
not sufficient to
suppress blinking
lights/fans or strong
blinking lights with
many reflections
cause false alarms.
Blinking lights or
fans cause false
alarms.
(recommendation:
set also Verification
time [s] to 12s)
Default setting
8.2 Adjustments of image regions
Notice!
There is no fire detection in privacy defined masks created in the Intelligent Video Analytics.
Masking
Due to the different areas of application of the camera, false alarms may be the result in
individual customer environments. Algorithm disturbing elements which have an appearance
similar to flames and smoke, for example ascending steam of a machine, must be excluded
from the detection area.
Customized areas can be defined in the picture of the camera. These individual masks for
flame and smoke detection deactivation allow individual adaption to the application of the
customer. Overlapping of masks is possible.
There are several possibilities to exclude picture areas from the smoke and flame detection:
– Add masks separately for flame, smoke or both.
– Add masks with delayed smoke detection.
– Let the system automatically generate masks from the alarm memory by automasking.
Automasks support the user to adapt the system to his individual application area. Once the
camera is powered, every upcoming alarm will be stored into the volatile alarm memory.
Generally it is advantageous to wait a certain period of time before using the automasking
feature for the first time. It depends on the special customer environment, whether there will
be false alarms or not. With automasking, detection disturbing areas in the picture can
automatically be masked out by the system. If there is no alarm, no automask will be
generated. The user can change the size of the automasks to minimize the masked out area.
The system is limited to 16 automasks (8 masks for smoke detection and 8 masks for flame
detection). Changes of the flame and smoke detection settings require renewing the
automasks.
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