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1. Go to the Queue length detection setting panel.
   
2. Click Settings.
   The Detection settings window appears.
   
3. Specify the area of interest and the approximate size of a person in the video image:
   1. Click Stop video to capture the video image (1).
   2. Click Area of interest (2).

   3. Using the left mouse button select the four points of the area in the captured video image (3) to be analyzed (1). Only one area can be added. If a second area is specified, then the first area will be deleted. Upon selection of the area the remaining part of the video image will be dimmed.

      Info
      title Note
      To remove a selected area, click the button next to the Area of interest button.

      

      Note
      title Attention!
      Setting the Area of interest is a mandatory requirement for the detection module operation.

      
      

   4. Click Size of person (2).

   5. In the captured video image (1) specify the approximate size of a person. To do this use the left mouse button to specify a rectangular area (1).

      Info
      title Note
      To remove the person size, click the button Image Removed Image Added next to the Size of person button.

      Image RemovedImage Added

4. Set the module parameters:
   1. Go to the Parameters tab (2).
   2. Set the detection sensitivity field in a range from 0 to 1 with up to two decimal places (1). The higher sensitivity is, the less significant objects will be considered as a queue. i.e. the algorithm will react to more inconsiderable motion. So, only considerable change of the scene will be analyzed by the queue length detection if the minimum value of the detection sensitivity is specified.
      Image RemovedImage Added

   3. In the Periodicity of occupancy measurement, s field, specify a time period in seconds for counting the number of people in the observed area (2). The minimum value of this parameter is an interval between frames of analyzed video stream, but not less than 1 second and not more than 3600 seconds. The value of the parameter depends on the scene characteristics. For example, if a queue in the field of video camera view is not changing for a long time, than the parameter value can be reasonably large. It is not recommended to specify value of this parameter more than 3-5 minutes for correct working of algorithm on the average scene.

      Info
      title Note
      The more often the occupancy is measured, the greater the load on the system.

      
      

   4. Set the Reduce large resolution checkbox to create and process the new frame consisting of even lines of the initial frame (3).
   5. In the Queue size, person field, enter the minimum number of people in a queue required for triggering the detection tool (4).

   6. In the Frames processed per second (0.016-100) field, enter the number of frames per second that the detection tool will process (5). The higher the value, the more accurate the detection tool's operation, but the higher the load on the processor.

      Info
      title Note
      All events from the Queue length detection object can be found in the Event log. See Obtaining traffic information in the area of interest.

      
      

5. Click OK to save changes and return to the settings panel of the Queue length detection object (6) object.

   Info
   title Note
   To return to the settings panel of the Queue length detection object without saving changes, click Cancel (7).

   
   

6. Click Apply on the settings panel of the Queue length detection object.

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