Documentation for C-Werk 2.0.

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To configure License plate recognition (BRS), do the following:

  1. Submit to the Grundig manager the MAC address of the Server where the detection tool will be used.

    Attention!

    The detection tool will not operate on the Server with a different MAC address.

  2. Copy the license received from the Grundig manager into the C:\Program Files\Common Files\Grundig\DetectorPack\BioirisSDK\License.txt file.

  3. Restart the Server (see Shutting down a Server, Starting a Server).

  4. Create the License plate recognition (BRS) object and select it.
  5. If you need to use this detection tool for real-time license plate recognition, set the corresponding parameter to Yes (1, see Configuring vehicle license plate recognition based on the created lists).
  6. If you need to record metadata to a database, select Yes from the Record objects tracking list (2).
  7. If the camera supports multistreaming, select the stream for which detection is needed (3). Selecting a low-quality video stream allows reducing the load on the Server.
  8. 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 NVDEC chips, see Hardware requirements for GPU based video decoding). If there is no appropriate GPU, the decoding will use the Intel Quick Sync Video technology or the CPU.

  9. By default, the analyzed framed are scaled down to a specified resolution (5, by default, 1920 pixels on the longer side). The value should be in the range [640; 10000]. 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 is below the specified value, it is used further.

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

      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 (512*384), as after the first division, the number of pixels on the longer side exceeds the limit (1024 > 1000). If detection is performed on a higher resolution stream and detection errors occur, it is recommended to reduce the compression.

  10. Set the maximum and minimum width of the license plate as a percentage of the frame width (6, 7). The value should be in the range [1; 100].
  11. Set minimum quality of the license plate recognition (8). The higher the minimum recognition quality, the fewer false positives will be detected. The value should be in the range [0; 100].
  12. In the Timeout field (9), specify the time in seconds after which the response should be generated after recognizing the license plate in the frame. The value should be in the range [0; 3600]. If you set the 0 value, the response will occur after the loss of the license plate track.

  13. In the Tracker timeout, sec field (4), specify the time in seconds after which the vehicle track is considered lost. The value should be in the range [0; 3600].

    Note

    This parameter should be used to prevent double responses that occur, for example, when the license plate is recognized in the frame then gets hidden behind a visual obstacle and after that gets recognized by the detection tool again. If you set the timeout longer than the time of possible license plate overlapping in the frame, the detection tool will trigger only once. 

  14. In the camera FOV, set the area where the detection and license plate recognition will occur. You can configure the area by moving the anchor points .
     

    Note

    • For your convenience, you can click the  button and configure the area on a freeze frame. To undo, click this button again.
    • The detection area is displayed by default. You can click the  button to hide the area. To undo, click this button again.

     

  15. Click the Apply button.

Configuration of License plate recognition (BRS) is complete.

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