Configure IV module as follows:

1. Go to the settings of the IV module object created on the basis of the LPR channel object.
   

2. Set the Use GPU checkbox (1) 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.

   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 LPR accuracy in the Accuracy drop-down list (2). The following options are available:
   
   1. Maximum—enables maximum recognition accuracy, but it causes great CPU and/or GPU load.  
   2. High—enables high recognition accuracy, it requires 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). The following options are available:
   1. 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—strict mode: 1 core per stream.
5. From the Platform drop-down list (4), select the device on which the module will operate:
   1. Default—CPU resources are used for computing.
   2. TensorRT—NVIDIA GPU resources are used for computing.
   3. CV22, NCNN, HISI, Qualcomm, TFLite, OpenVino—other device resources are used for computing, if available. These options apply to platforms other than x86/x64.
6. In the Interval field (5), specify the minimum time interval in milliseconds that lasts between frames processing (i.e. all frames within this interval will not be processed). The range of values is 0-999, the default value is 0.

7. Select the profile of country license plates that are to be recognized in the Profile drop-down list (6). 

   The profile of country license plates should match the selected country for plate recognition (see Selecting the country and license plate recognition SDK).

   The following options are available:

   • 0—Common. This profile should be selected if By default country is selected.

   • 3, 6 and 9—for more information see The IV module functionality.

     The 9 profile enables recognizing correctly USA license plates with vertical letters on the plates. It can also be recommended to be in use when maximum recognition accuracy is needed if there is no high load on hardware.   Greater profile number enables more accurate LPR comparing to the solution with smaller number, but it is more demanding to computing resources.

     
     

8. Click the Apply button (7).

Configuration of the IV module is completed.