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Current release version of VitML.Recognition.Client: 2.2.2

Info
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As a part of VitML.Recognition.Client distribution, we provide a sample GUI application which demonstrates the operation of VIT Recognition System API. It allows to send images to VIT Recognition Server and receive the corresponding recognition results.

Within the delivered package, the sample application is located in VitML.Recognition.Client.TestClient folder.

Name of the executable: VitML.Recognition.Client.TestClient.exe.


GUI sections:

  1. VIT Recognition Server connection settings.
  2. Recognition settings which specify how your image should be processed.
  3. Recognition request data you will receive as part of recognition result.
  4. Recognition response data (recognition result will be displayed here).
  5. Recognition history: list of sent requests and the corresponding results (new requests on the top).
  6. Images section (displays last sent and received images).

Usage steps

Step 1. Specify the connection settings


  • Host — IP address of the machine where your VIT Recognition System is functioning (127.0.0.1 by default).
  • Port — service port of your VIT Recognition System (5432 by default).
  • Database — name of the database on VIT Recognition System's side, which stores the images you send, as well as the corresponding license plate recognition results. 
  • User — database user's name.
  • Password — password to access the database.

Step 2. Specify the recognition settings

  • Recognition requests source ID — your identifier (as VIT Recognition System's client, i.e. the source of recognition requests); the client is responsible for recognition requests source's ID uniqueness. 
  • Recognition requests source name — your name (as VIT Recognition System's client).
  • License plate star max count — maximum number of unrecognized symbols on the license plate image, when the result is still sent to the client. 

    Info

    Unrecognized symbols are substituted with the asterisk symbol ( * ) in recognition result strings, hence the option's name. 

  • License plate validity min — minimum value of license plate recognition validity (preciseness), when the result is still sent to the client. For each recognition result, validity is determined by the recognition engine by its own criteria.

Step 3. Load the image to analyze

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Step 4. Change zone and plate size

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  • Edit plate size — allows to visually specify the license plate sizes which will be taken into account while recognizing processing your image:
    Minimum
    1. Maximum size of license plate's image.

    If its size is less than
    1.  If the license plate image's size exceeds this value, the system

    ignores the
    1. will ignore this license plate.

    Maximum
    1. Minimum size of license plate's image. If

    its size exceeds
    1. the license plate image's size is less than this value, the system will ignore

    the
    1. this license plate. 

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  • Edit zone — allows to specify a so-called "recognition zone", a zone in the image where the license plate detection will be done, while ignoring the . The rest of the image (which is not included into the recognition zone) will be ignored.

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Step 5. Select the license plate templates

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Step 5. Clarify your recognition request

Activate the checkboxes check boxes in accordance to what which images you want to receive with your recognition result.

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Step 6. Send your recognition request

Results viewing

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Step 7. View the results from VIT Recognition Server

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