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Crowd Estimation VA .
  • Starting with Detector Pack 3.11, Intel HDDL and Intel NCS aren’t supported.
    • ParameterValueDescription
    Object features
    Record mask to archiveYesBy default, the recording of the mask to the archive is disabled. To record the sensitivity scale of the detection tool to the archive (see Displaying information from a detection tool (mask)), select the Yes value
    No
    Video streamMain streamIf the camera supports multistreaming, select the stream for which detection is needed
    Other
    EnableYesBy default, the detection tool is enabled. To disable, select the No value
    No
    NameCrowd Estimation VAEnter the detection tool name or leave the default name
    Decode key framesYes

    By default, the Decode key frames parameter is enabled. In this case only key frames are decoded. To disable the parameter, select the No value in the corresponding field.

    This parameter reduces the load on the Server, but at the same time the detection quality decreases. We recommend enabling this parameter for "blind" (without video image display) Servers on which you want to perform detection.

    For the MJPEG codec decoding isn’t relevant, as each frame is considered as a key frame.

    Note
    titleAttention!

    The Number of frames processed per second and Decode key frames parameters are interrelated.

    If a local Client isn’t connected to the Server, the following rules work for remote Clients:

    • If the key frame rate is less than the value specified in the Number of frames processed per second field, the detection tool will work by key frames.
    • If the key frame rate is greater than the value specified in the Number of frames processed per second field, the detection will be performed according to the set period.

    If a local Client is connected to the Server, the detection tool will always work according to the set period. After disconnecting the local Client, the above rules will be relevant again.


    No
    Decoder modeAuto

    Select a processing resource for decoding video.  When you select a GPU, a stand-alone graphics card takes priority (when decoding with NVIDIA NVDEC chips). If there is no appropriate GPU, the decoding will use the Intel Quick Sync Video technology. Otherwise, CPU resources will be used for decoding

    CPU
    GPU
    HuaweiNPU
    Mode



    		CPU

    Select the processor for the operation—CPU or NVIDIA GPU (see General information on configuring detection).

    Note
    titleAttention!
    • If you specify other processing resource than the CPU, this device will carry the most of computing load. However, the CPU will also be used to run the
    • detection tool.
    Nvidia GPU 0
    Nvidia GPU 1
    Nvidia GPU 2
    Nvidia GPU 3Nvidia GPU 0
    Number of alarm objects1

    Specify the number of objects that will trigger the detectionat which an event will occur. The value must be in the range [0; 10000]

    Number of frames processed per second0.251

    Specify the number of frames for the detection tool to process per second. The value must be in the range [0.016; 100]

    Trigger upon count

    		Greater than or equal to threshold value

    Select when you want to generate a triggeran event. The Crowd Estimation VA will generate a trigger events from the threshold value set in the Number of alarm objects field

    Less than or equal to threshold value
    TypeCrowd Estimation VAName of the detection tool type (non-editable field)

    If necessary, in By default, the entire frame is the detection area. In the preview window, set you can specify the detection areas with using the help of anchor points Image Modified (the same as with the excluded areas of the Scene analytics detection tools, see Setting General Zones for Scene analytics detection tools). By default, the whole frame is a detection areasee Configuring the Detection Zone).

    To save the parameters of the detection tool, click the Apply  Image Modified button. To cancel the changes, click the Cancel Image Modified button.

    It is possible to display the sensor and the number of objects in the monitored area in the Surveillance window on the layout (see Displaying the number of detected objects).

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