Documentation for DetectorPack PSIM 1.0.1.

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  • You can configure the Fire detection module 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 window.
  • You can configure the Smoke detection module 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 window.

To configure the Fire detection and Smoke detection modules, do the following:

  1. Go to the settings panel of the corresponding module.
  2. To receive events about the end of fire/smoke only after the time period from the Alarm duration, sec setting, set the Track alarm end checkbox. By default, the checkbox is cleared, which means that events about the end of fire/smoke are received immediately.
  3. In the Alarm duration, sec field, enter the time period in seconds during which the repeated fire/smoke alarm events are ignored. By default, the setting isn't available for editing. To enable it, you must set the Track alarm end checkbox (see the previous step).

    Note

    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.

  4. Set the Generate alarm on camera checkbox if you want to initiate an alarm on the camera when the detector generates an event.
  5. By default, the standard (default) neural network is initialized according to the device selected in step 10. You must not select the standard neural networks for the different processor types manually, since it is performed automatically. If there is a unique neural network for use, click the button to the right of the Tracking model field, and specify its file in the standard Windows Explorer window that opens.
  6. 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 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.

  7. In the Frames processed per second [0.016, 100] field, set the number of frames per second that the neural network processes. This value affects the processor load: the higher the value, the greater the load. It also affects the operation speed of the algorithm: the higher the frame rate, the faster the required number of frames are collected for making a decision and generating an alarm, if required.
  8. 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.

  9. 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.

    Note

    You cannot configure the scanning windows for the Fire detection and Smoke detection modules. 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.

  10. From the Device drop-down list, select the device on which the neural network will operate: the CPU, one of the NVIDIA GPUs, or one of the Intel GPUs. Auto (default value)—the device is selected automatically: The NVIDIA GPU gets the highest priority, followed by the Intel GPU, then the CPU.

    Attention!

    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).

  11. Specify the area of interest on the video image:
    1. Click the Stop video button to capture the frame of the video image.
    2. Click the Area of interest button.
    3. 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.

    4. Click the OK button.

      Note

      To remove the area, click the button next to the Area of interest button.

      You can add only one area. If you try to add the second area, the first area is deleted.

  12. Click the Apply button.

Configuring the Fire detection and Smoke detection modules is complete. 


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