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1. To record mask (highlighting of queues/linesthe queue on the video) to the archive (see Extra information overlay (Masks)), select Yes for the corresponding parameter (1).
   
2. If a the camera supports multistreaming, select the stream for which detection is needed (2). Selecting a low-quality video stream allows reducing the load on the Server.
   

3. Set an the event transmission interval in seconds for sending the data to the AxxonData report subsystem (see Queue length report), if the queue length exceeds the set limit (3). Zero value means no transmission of eventsIf 0 value is selected, no events will be transmitted.

4. Select a processing resource for decoding video streams (4). When you select a GPU, a stand-alone graphics card takes priority (when decoding with NVidia NVIDIA NVDEC chips). If there 's is no appropriate GPU, the decoding will use the Intel Quick Sync Video technology. Otherwise, CPU resources will be used for decoding.

5. Analyzed framed are scaled down to a specified resolution (5, 1920 pixels on the longer side). This is how it works:

   1. If the longer side of the source image exceeds the value specified in the Frame size change field, it is divided by two.

   2. If the resulting resolution falls below the specified value, it is used further.

   2. If the resulting resolution still exceeds the specified limit, it is divided by two, etc.

   Info
   title Note
   For example, the source image resolution is 2048*1536, and the specified value is set to 1000. In this case, the source resolution will be halved two times (down to 512*384), as after the first division, the number of

   By default, the frame is compressed to 1920

   pixels on the longer side

   . To avoid detection errors on streams with a higher resolution

   exceeds the limit (1024 > 1000).

   
   

   Info
   title Note
   If detection is performed on a higher resolution stream and detection errors occur, it is recommended

   that compression be reduced (5)

   to reduce the compression.

   
   

6. Set the frame rate value for the detection tool to process per second (6). This value should be in the range [0.,016, ; 100].   The The higher the value of this parameter, the greater higher the CPU load.

7. Click the Image Added button and set the minimum size of a human (7). You can do so by dragging the corners of the rectangular area.

   Info
   title Note
   It is better to set the minimum size of a human graphically. The number in the Human size field is a conventional value.

   Image Added

8. Specify the number of people to trigger the alarm when exceeded (7). The in the queue above which the detection tool triggers (8). The value should be within the range of [2 – ; 20]. 
9. Specify the detection tool sensitivity in standard units from 0 to 1 (89). The higher the sensitivity, the smaller the disturbances analyzed by will be attribute to the queue detection algorithm. Alternatively, the lower the sensitivity, the greater changes in scene are processed by the queue detection tool, i.e. the algorithm will react to more insignificant movement. If you specify the lowest sensitivity value, the detection tool will process only significant changes in the scene.
   You should set the sensitivity value empirically based on the Motion Mask data displayed in the Preview preview window.
   Image RemovedImage Added

10. In the

    Preview

    preview window, you can set the detection zones with the help of the anchor points much like privacy masks in Scene Analytics (see Setting General Zones for Scene Analytics).

11. Click Image Removed and set the approximate size of a human. You can do so by dragging the corners of the rectangular area.
    Image RemovedClick ApplyApply button.

The queue detection tool is now configured. When the detection tool is triggered, the following events are generated:

Camera "6. Camera". Detection "Queue detection" triggered, quauequeue (min.: 610, max.: 610)

where min. and max. is estimated queue length.