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1. Go to the settings of the RIDR IntelliVision module object created under the LPR channel object.
   

2. Set the Use GPU checkbox(1) checkbox if if it is necessary to use the NVIDIA GPU resources to increase the license plate recognition performance. By default, only the CPU resources are used.

   Note
   title Attention!
   The startup (initialization) of the license plate recognition algorithm on NVIDIA GPU can take about one minute. No LP recognition events will be received until the initialization is complete.

   
   

3. Select the numbers recognition accuracy in the Accuracy drop-down list(2) drop-down list. The following options are available:
   
   1. Maximum - — enables maximum recognition accuracy, but it causes great CPU and/or GPU load.  
   2. High - enables — enables high recognition accuracy, it requires less computing less computing resources than for maximum accuracy.
   3. Fast - — enables high recognition speed, but the accuracy becomes worse.
4. Select the computing resources use mode in the Strategy drop-down list(3) drop-down list. The following options are available:
   1. Process  - Process — mild mode: no more than 1 core for 1 license plate.
   2. System - — default mode: all available computing cores are in use;
   3. Core  - Core — strict mode: 1 core per stream.
5. Specify In the Interval field (4), specify the minimum time interval lasting in milliseconds that lasts between the frames processing for the Interval (4) parameter (i.e. all frames within this interval won't will not be processed). The range of values is 0-999, the default value is 0.

6. From the Profile drop-down list (5) select a license plate recognition quality profile:

   • 6 - provides — provides higher performance (higher processing speed and less CPU usage) relative to profile 9, but has a lower recognition accuracy.

   • 9 - provides — provides higher recognition accuracy (works well on noisy and complex scenes) relative to profile 6, but has lower performance (lower processing speed and more CPU consumption).

   
   

7. Click Apply(6).

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