Configuring the Fire detection and Smoke detection modules

• 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 panel.
   

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

   Note

   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.

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 as: "time of the last received alarm" + "time specified in the Minimum alarm time, sec parameter".

4. If you use a custom neural network, click the  button (3), 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:

   smoke_openvino.ann	Smoke detection / CPU
   smoke_original.ann	Smoke detection / GPU
   fire_openvino.ann	Fire detection / CPU
   fire_original.ann	Fire detection / GPU

5. In the Detection sensitivity: 0..100 field (4) enter the sensitivity of detection – integer value from 0 to 100. This parameter has an impact on sufficient probability of fire/smoke recognition for alarm.

   Note

   For example, if 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.

6. In the Time in seconds between processed frames field (5) enter the time period in seconds separating frames used by algorithm for fire/smoke analysis. This parameter has an impact on processor capacity: the less the parameter, the more capacity. Also it has an impact on operation speed of algorithm: the less distance between frames. the faster required number of frames will be collected for decision and alarm, if it's required.

7. In the Number of frames for analysis and output field (6) enter minimum number of frames for detection analysis before alarm generating. The more the value, the more certain the result of detection operation. At the same time, if value is too large, the short-time fire/smoke can be missed.

   Note.

   Multiplication of Time in seconds between processed frames * Number of frames for analysis and output parameters characterizes time period (in seconds) at the end of which after fire/smoke alarm will be triggered.

8. In the Device drop-down list (7), select the device on which the neural network will operate.
9. Specify the area of interest on the video image:
   1. Click the Setup button (8). The Detection settings window will open.
      
   2. Click the Stop video button to capture the video image (1).
   3. Click the Area of interest button (2).
   4. Specify area on which fire/smoke recognition will be detected (3).
   5. Click the OK button (4).
10. Click the Apply button (9).

Configuring the Fire detection and Smoke detection modules is complete.