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• The Fire detection module can be configured on the settings panel of the Fire detection object created on the basis of the Camera object on the Hardware tab of the System settings dialog window.
• The Smoke detection module can be configured on the settings panel of the Smoke detection object created on the basis of the Camera object on the Hardware tab of the System settings dialog window.
  

The Fire detection and Smoke detection modules are configured similarly and as follows:

1. Go to the appropriate detector object 's control settings panel.
   

2. In the Minimum alarm time, secs field (1), enter the time period in seconds during which the repeated recognitions of the ignitionfire/smoke alarms will be ignored.

   Info
   title Note
   For example, if 5 seconds is set for the Time in seconds between processed frames parameterin the Minimum alarm time, sfield, and there is a fire/smoke on the image during a longer period of time, then in order to avoid receiving messages of ignitionabout the fire/smoke from the detector detection tool every 5 seconds, set a set a higher value for the the Minimum alarm time, sec parameter s parameter (for example, 10 seconds). In this case, only one message about the ignitionfire/smoke will be displayed, and all the repeated recognitions all the following alarms will not be displayed in the Event viewer until until the time interval between the recognitions the recognitions of the ignitionfire/smoke becomes longer than 10 seconds.

   
   

3. Set the Track alarm end checkbox (2), if it is necessary to generate an end-of-alarm event only after the expiration of the time, which is considered counted as: " time of the last received alarm " + " time specified in the Minimum alarm time, sec s parameter".
4. Set the Generate alarm on camera checkbox (3), if it is necessary to initiate an alarm on the camera when a detection tool is triggered.

5. If you use a custom unique neural network is prepared for use, click the  in the Tracking model field, click the button (4), and select the file and in the standard Windows box Explorer window 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 . If the field is left blank, the default neural networks will be used for detection (see the table below). They are selected automatically depending on the CPU and are located in the C:\Program Files (x86)\Intellect\Modules64 directory:

   Neural network name	Detection/CPU
   smoke_openvino.ann	Smoke

   detection 

   detection/CPU
   smoke_original.ann	Smoke

   detection 

   detection/GPU
   fire_openvino.ann	Fire

   detection 

   detection/

    

   CPU
   fire_original.ann	Fire

   detection 

   detection/

    

   GPU

   
   

6. In the Detection sensitivity : [0..100] field (5), enter the sensitivity of detection – the detection tool—integer value in the range from 0 to 100. This parameter has an impact on sufficient probability determines at what certainty of fire/smoke recognition for alarm.

   Info

   title	Note

   detection the detection tool will trigger: the higher the sensitivity, the higher the recognition threshold. For example,

   if

   at sensitivity

   is 0, than frame on which fire/smoke is recognized with certainty more than 95% will be alarming. If sensitivity is 100, than frame with 50% certainty of fire/smoke recognition will be alarming.

   100, the detection tool neural network must get 100% certainty for some period of time when processing the frames. The value of the Detection sensitivity field is determined experimentally.

7. In the Frames processed per second [0.016, 100] field (6), set the number of frames per second that will be processed by the neural network. This value In the Time in seconds between processed frames field (6) enter the time period in seconds separating frames used by algorithm for fire/smoke analysis. This parameter has an impact on processor capacityload: the less higher the parametervalue, the more capacity. Also it greater the load. It also has an impact on the algorithm operation speed of algorithm: the less distance between frames. higher the frame rate, the faster the required number of frames will be collected for making a decision and triggering an alarm, if it's required.

8. In the Number of frames for analysis and output field (7), enter the minimum number of frames in the range 5-20 for the detection analysis before alarm generatingtool to analyze before triggering. The more higher the value, the more certain reliable the result of the detection tool operation. At the same time, if the value is too largehigh, the short-time fire/smoke can be missed. If you enter a value less than the minimum, the value is set to 5.

   Info
   title Note.
   Multiplication of Time in seconds between processed frames * of Minimum alarm time, s and Number of frames for analysis and output parameters characterizes values is the time period (in seconds) at the end of which after after which the alarm will trigger after the fire/smoke alarm will be triggereddetection.

   
   

9. In the Device drop-down list (8), select the device on which the neural network will operate. Auto—the device is selected automatically: GPU gets the highest priority, followed by Intel GPU, then CPU.
10. Click the Settings button Specify the area of interest on the video image:Click the Setup button (9). The The Detection settings window  windows will open.
11. Specify the area of interest on the video image:
    Image Removed
    1. Click the the Stop video button  button to capture the video image (1).
       Image Added
    2. Click the the Area of interest button (2).
    3. Specify area on which fire/smoke recognition will be detected (3).

    4. On the captured video image (3), set the anchor points of the area, the situation in which you want to analyze, by sequentially clicking the left mouse button. Only one area can be added. If you try to add a second area, the first area will be deleted. After adding an area, the rest of the video image will be darkened.
       Image Added

    5. Click the OK button (2).

       Info
       title Note
       Specifying the Area of interest is a mandatory requirement for the detection module operation. To remove the area, click the Image Added button next to the Area of interest button

       Click the OK button (4)

       .

       
       

12. Click the Apply button (10).

Configuring the Fire detection and Smoke detection detection modules is complete.