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  1. In the Min person height (%) and Min person width (%) fields, enter the minimum height and width of a person in the frame as a percentage of the frame height/width. Objects whose size is lower than the specified one aren't detected.
  2. In the Frames processed per second [0.016, 100] field, specify the number of frames per second that the detector processes.
  3. In the Number of frames for analysis and output [2, 20] field, specify the minimum number of frames on which the detector must detect a violation so that an event is generated in the range from 2 to 20.

  4. In the Track retention time (s) field, specify the time in seconds in the range from 0.3 to 1000 after which the object track is considered lost. You can use this parameter in situations when one object in the frame temporarily overlaps another.
  5. By default, the One event per equipment element checkbox is set, and the detector generates an event once for each equipment element violation within one object (track). If you want the detector to generate an event each time the equipment violation occurs, clear the checkbox.

    Info
    titleExample

    A person appeared in a frame without a helmet, then put it on and then took it off again. If the One event per equipment element checkbox is set, then there is one event, if not, two events.

  6. Set the Show objects on image checkbox if you want to outline the detected object with a border on an image in the Monitor object window.
  7. Set the Save tracks to show in archive checkbox to save the object (track) to the archive.

    Info
    titleNote

    The frame on the image of the detected object is saved in the Monitor object archive.

  8. From the Working mode drop-down list, select the device on which the neural network operates: CPU, one of NVIDIA GPUs, or one of Intel GPUs. The default value is CPU. Depending on the selected device, the neural networks are selected by default.

    Note
    titleAttention!
    1. It can take several minutes to launch the algorithm on an 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 in Windows OS).
    2. If you select a processor different from the CPU, then the main part of the computational load is performed on the selected device. The CPU is also used for detector operation.

    3. In the Detector Pack subsystem of version 32.0, the support of Intel HDDL is removed, therefore, when you update from version 1.0, the Not supported option is selected automatically instead of this device variant, and detectors don't operate. To resume the detector operation, select the required device from the list.

  9. Set the PPE detection checkbox to detect the presence of personal protective equipment (PPE). By default, the checkbox is cleared.

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