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Camera requirements for the Fire detection and Smoke detection modules |
The To configure the Fire detection and Smoke detection modules are configured similarly and as follows modules, do the following:
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For example, if 5 seconds is set for the Time in seconds between processed frames parameter, and there is a fire/smoke on the image during a longer period of time, then in order to avoid receiving messages of ignition/smoke from the detector every 5 seconds, set a higher value for the Minimum alarm time, sec parameter (for example, 10 seconds). In this case, only one message about the ignition/smoke will be displayed, and all the repeated recognitions will not be displayed in the Event viewer until the time interval between the recognitions of the ignition/smoke becomes longer than 10 seconds.
If you set the Track alarm end checkbox, the events about the end of fire/smoke are received after the time specified in the Alarm duration, sec setting. If, until the end of this period, the current fire/smoke is completed and the new one is detected, the detector doesn't generate events about completing the current and starting the new alarm. The new fire/smoke event is received after the current alarm is completed. |
If you use a custom neural network, click the button (4), and in the standard Windows box that opens, select the neural network file with the fire/smoke detection model. It is not necessary to select standard neural networks in this field, the system will automatically select the required one. Standard neural networks for different processor types used are located in the C:\Program Files (x86)\Intellect\Modules64 directory:
In the Detection sensitivity [0, 100] field, enter the detector sensitivity—an integer value in the range
from 0 to 100. This parameter
determines at what certainty of fire/smoke
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detection the detector generates an alarm: the higher the sensitivity, the higher the recognition threshold. For example,
at sensitivity
100, the detector neural network must get 100% certainty for some period of time during the frame processing. The value of the Detection sensitivity field is determined experimentally.
In the Number of frames for analysis and output
[5, 20] field, enter the minimum number of frames
in the range from 5 to 20 for the detector to analyze before generating an alarm. The higher the value, the more
reliable the result of
the detector operation. At the same time, if the value is too
high, the short-time fire/smoke can be missed. If you enter a value less than the minimum, the value is set to 5.
Set the Scanning mode checkbox to track small objects. If you enable this mode, the load on the system increases. That is why we recommend setting the small number of frames processed per second in step 7. By default, the checkbox is cleared. For more information on the scanning mode, see Configuring the Scanning mode.
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You cannot configure the scanning windows for the Fire detection and Smoke detection modules. |
Multiplication of Time in seconds between processed frames * Number of frames for analysis and output parameter values characterizes time period (in seconds) at the end of which after fire/smoke alarm will be triggered.
The default parameters are used. When you use the scanning mode, we recommend using a full frame without specifying the area of interest in step 11. |
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We recommend using the GPU. It can take several minutes to launch the algorithm on the NVIDIA GPU after you apply the settings. You can use caching to speed up future launches (see Optimizing the operation of neural analytics on GPU). |
On the captured video
frame, sequentially set the anchor points of the area
using the left mouse button
, the situation of which you want to analyze. After you add the area, the remaining part of the video image
is darkened.
If you don't specify the area of interest, the entire frame is analyzed.
Click the OK
button.
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To remove the area, click the |
button next to the Area of interest button. |
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You can add only one area. If you try to add the second area, the first area is deleted. |
Configuring the Fire detection and Smoke detection modules is complete.
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