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1. Go to the appropriate detector object settings panel.
   

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

   Info
   title Note
   For example, if 5 seconds is set in 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 about the fire/smoke from the detection tool every 5 seconds, set a higher value for the Minimum alarm time, s parameter (for example, 10 seconds). In this case, only one message about the fire/smoke will be displayed, and all the following alarms will not be displayed in the Event viewer until the time interval between the recognitions of the fire/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 counted as: time of the last received alarm + time specified in the Minimum alarm time, 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 a unique neural network is prepared for use, in the Tracking model field, click the button (4), and select the file in the standard Windows Explorer window that opens. 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/CPU
   smoke_original.ann	Smoke detection/GPU
   fire_openvino.ann	Fire detection/CPU
   fire_original.ann	Fire detection/GPU

   
   

6. In the Detection sensitivity [0..100] field (5), enter the sensitivity of the detection tool—integer value in the range from 0 to 100. This parameter determines at what certainty of fire/smoke detection the detection tool will trigger.

   Info
   title Note
   For example, if the sensitivity is 0, then the frame on which fire/smoke is detected with the certainty of more than 95% will be considered alarmed. If the sensitivity is 100, then the frame with 50% certainty of fire/smoke detection will be alarmed.

   
   

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 has an impact on processor load: the higher the value, the greater the load. It also has an impact on the algorithm operation speed: the higher the frame rate, the faster the required number of frames will be collected for making a decision and triggering an alarm, if 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 tool to analyze before triggering. The higher the value, the more reliable the result of the detection tool 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.

   Info
   title Note
   Multiplication of Minimum alarm time, s and Number of frames for analysis and output values is the time period (in seconds) after which the alarm will trigger after the fire/smoke detection.

   
   

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 (9). The Detection settings windows will open.
11. Specify the area of interest on the video image:
    1. Click the Stop video button to capture the video image (1).
       
    2. Click the Area of interest button (2).

    3. 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.
       

    4. 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 button next to the Area of interest button.

       
       

12. Click the Apply button (10).

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