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To configure License plate recognition (RR), do as follows:

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

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

   
   

2. Create the required detection object you need tool and select it (1). 
   
3. If you need to use this detection tool for real-time license plate recognition, set the corresponding parameter to Yes (21) (see Configuring real-time vehicle license plate recognition).
4. To record metadata to the database, select Yes from the Record Objects objects tracking list (32).
5. If a the camera supports multi-streamingmultistreaming, select the stream for which detection is needed. Selecting a low-quality video stream reduces the load on the Server (43).
   
   

6. Select the Algorithm for detecting vehicle direction (54):

   1. By LP coordinates: if LP coordinates change position from top to bottom, the vehicle moves to towards the camera. If LP coordinates change position from bottom to top, the vehicle moves away from the camera.
   2. By LP scale change: if LP scale increases, the vehicle moves to towards the camera. If LP scale decreases, the vehicle moves away from the camera. 
7. In the corresponding fields, select from the list one or more countries whose license plates you need to recognize (6for LPR (5).
8. Select the processor for decoding video streams (76). When you select a GPU, a discrete stand-alone graphics card takes priority (when decoding with NVIDIA NVDEC chips). If there is no appropriate GPU, the decoding will be done with Intel Quick Sync Video technology. Otherwise, the CPU resources will be used for decoding.
9. Set the number of frames processed per second by the detector detection tool (87). The value should be in the range [0.016, 100].
10. Set the minimum quality of ANPR (98). The value should be in the range [0; 100]. The higher the minimum recognition quality is, the fewer false detections will occur.

11. Select the processor for the detection tool: the CPU or one of NVIDIA GPUs (109) (see General Information on Configuring Detection).
    

    Note
    title Attention!
    It may take up to one minute several minutes to launch the algorithm on NVIDIA GPU. You can use caching to speed up future launches (see Configuring the acceleration of GPU-based neuroanalytics).

    
    

12. Select from the list the mode for determining the unit of vehicles speed (10).
13. Specify the speed detection area height and width (11, 12). The value should be in the range [0; 500].
14. If you need to search for the recognized LPs in the archive, set Yes for the corresponding parameter (13, see LPR search).

15. In the Event In the Force report timeout field (1114) specify the time interval in seconds between the initial LP recognition and event registration.The 0 value 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).

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16. By default, the analyzed frames are compressed scaled down to a specified size resolution (1215, 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, this resolution will be used further.

    3. If the resulting resolution still exceeds the specified value, 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 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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    Specify the maximum number of recognition threads (13). If the value is 0,the recognition process will occur in the same thread that starts it

    1. .

    
    note

    title	Attention!

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

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17. You can configure an the ANPR zone area in FOVthe preview window. The zone area is resized by moving the anchor points . 

    

    Info
    title Note
    For your convenience, you can click the Image Removed Image Added button and configure the mask on a still frame. To undo, click this button again.

    
    

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

    
    

18. Click the Apply button.

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