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1. Go to the Detection settings tab (1) of the Equipment detection (PPE) object settings panel.
   
2. In the Min person height, % (2) and Min person width, % (3) fields, enter the minimum height and width of a person in the frame as a percentage of the frame height/width. Objects smaller than the specified size will not be detected.
3. In the Frames processed per second [0,016, 100] field (4), set the number of frames per second that will be processed by the detection tool.

4. In the Number of frames for analysis and output field (5), enter the minimum number of frames on which a violation should be detected in order to generate a trigger. The value should be in the [2; 20] range.

5. By default, the detection triggering is generated for each equipment violation. If it is necessary to generate a trigger once for each equipment item violation within a whole person's track, then clear the One event per equipment element checkbox (6).

   Info
   title Note
   Example. A person appeared in the 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 will be one trigger, if not—two.

   
   

6. Set the Show objects on image checkbox (7) if it is necessary to highlight the detected object with a frame on the image in the Monitor interface object window.

7. Set the Save tracks to show in archive checkbox (8) to save the track in the archive.
   

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

   
   

8. From the Working mode drop-down list (9), select the device on which the neural network will operate. Default value is CPU.

9. Click the Settings button (10). The Detector settings window will open.
   

   1. Click the Stop video button (1) to capture a frame of the video image.
   2. Click the Area of interest button (2).
   3. On the captured video frame, sequentially set the anchor points of the area in which the objects will be detected by left-clicking the mouse button (3).
      
   4. Click the OK button (4).
10. Go to the Network settings tab (1).
    
11. Select the segmenting neural network file (2).
12. Select one or several files of the classification neural network (3). Each classification neural network detects equipment on a specific body segment.
13. Click the Apply button (4) to save the changes.

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