Page History

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).
   Image Modified

6. Select the 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 LPR (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 several minutes to one minute 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. From the Speed detection list, select the unit of measurement of vehicle 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 tIn 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).

    Image Added

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.

       Image Removed

       
       

17. Specify the maximum number of recognition threads (1316). 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 should not exceed the number of CPU cores and is limited to 100.

    
    

    Note
    title Attention!
    Starting from DetectorPack 3.8.0.95 the Maximum number of threads parameter is not present.

    
    

18. You can configure

    an ANPR zone in FOV

    the LPR area in the preview window. The

    zone

    area is resized by moving the anchor points

    Image Removed

    Image Added. 
    

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

    
    

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

    
    

19. Click the Apply button.

...