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1. Download Addon RR LPR from the website and install it.

   Info
   title Note
   To make the detection tool work under Windows Server 2012 R2, make sure to install the Media Foundation component.

   
   

2. Create the detection object you need and select it (1). 
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3. If you require using need to use this detection tool for real-time number plate recognition (see Configuring real-time vehicle license plate recognition), set the corresponding parameter to Yes (2) (see Configuring real-time vehicle license plate recognition).
4. If you need to enable recording of metadata, select To record metadata to the database, select Yes from the Record Objects tracking list  list (3).
5. If a camera supports multistreamingmulti-streaming, select the stream for which detection is needed. Selecting a low-quality video stream allows reducing reduces the load on the Server (4).
6. Select your target country from the list (5).
7. 
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8. Select the Algorithm for detecting vehicle direction (5):

   1. By LP coordinates: if LP coordinates change position from top to bottom, the vehicle moves to the camera. If LP coordinates change position from bottom to top, the vehicle moves from the camera.
   2. By LP scale change: if LP scale increases, the vehicle moves to the camera. If LP scale decreases, the vehicle moves from the camera. 
9. In the corresponding fields, select from the list one or more countries whose license plates you need to recognize (6).
10. Select the processor Select a processing resource for decoding video streams (67). When you select a GPU, a stand-alone discrete graphics card takes priority (when decoding with NVidia NVIDIA NVDEC chips). If there 's is no appropriate GPU, the decoding will use the be done with Intel Quick Sync Video technology. Otherwise, the CPU resources will be used for decoding.
11. Set the number of frames processed per second by the detector (8). The value should be in the range [0.016, 100].
12. Set the minimum quality of ANPR (79). The higher the minimum recognition quality is, the less fewer false detections will occur.

13. Select the processor for the detection tool: the CPU or one of NVidia NVIDIA GPUs (810) (see General Information on Configuring Detection).
    

    Note
    title Attention!
    It may take up to one minute to launch the algorithm on an NVIDIA GPU.

    
    

14. Specify

    In the Force report timeout field (11) specify the time interval between the initial recognition and event registration

    in the Force report timeout field (10)

    . 

    Zero 

    The 0 Image Removedvalue sets the event registration to the moment when the track disappears from FOV.

    
    

    
    

    Info
    title Note
    Skip this step with License plate recognition - Search in archive (RR).

    
    

15. Analyzed framed are scaled down By default, the analyzed frames are compressed to a specified resolution size (1012, 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 this resolution will be used further.

    3. If the resulting resolution still exceeds the specified limitvalue, it is divided by two, etc.

       Info
       title Note
       For example, the source image resolution is 2048*1536, and the limit specified value is set to 1000. In this case, the source resolution will be divided halved two times (down to 512*384): , as after the first division, the number of pixels on the longer side exceeds the limit (1024 > 1000).

       
       

       Info
       title Note
       If detection is performed on a higher resolution stream and detection errors occur, it is recommended to reduce the compression.

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16. Specify the maximum number of recognition threads (1113). If the value is 0, the recognition process will occur in the same thread that starts it.

    Note
    title Attention!
    The cumulative value of this parameters across all LPR detection tools must should not exceed the number of CPU cores and is limited to 100.

    
    

17. You can configure an ANPR zone in FoV. The zone is resized by moving the anchor points . 
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    Info
    title Note
    For your convenience, you can click the Image Removed button the Image Added button and configure the mask on a still frame / snapshot. To undo, click this button again.

    
    

    Info
    title Note
    Detection zone is displayed by default. You can click the Image Removedthe Image Added button to hide the zone. To undo, click this button again.

    
    

18. Click the Apply button.

Configuration of  of License plate recognition (RR) is now complete.