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Current release version of VitML.Recognition.Client: 2.2.2

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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 license plate recognition results + additional meta data.

Within the delivered package, the sample application is located in VitML.Recognition.Client.TestClient folder (while its source code is located in VitML.Recognition.Client.TestClient_src folder). .

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

The application allows to send images to VIT Recognition Server and receive the corresponding recognition results.

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GUI sections:

  1. Parameters of connection to VIT Recognition System Server connection settings.
  2. Parameters of license plate recognition, Recognition settings which specify how your image should be processed.
  3. Recognition request (the data you want specify to receive as part of recognition result).
  4. Image Recognition response data (image processing result obtained from VIT Recognition System).
  5. History Recognition history: list of sent requests with and the corresponding results (new requests on the top).
  6. Images section (displays last the latest sent and received images).

Usage steps:

Table of Contents

Step 1. Specify the connection settings

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  • 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 that , 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

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  • 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
  • uniqueness of this ID
  • 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
to still send back
  • , when the result is still considered valid and is sent to the client.
The unrecognized
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Unrecognized symbols are substituted with the asterisk symbol ( *

in the resulting data structure

) in recognition result string, hence the option's name. 

  • License plate validity min — minimum value of license plate recognition validity (preciseness)
to still send back
  • when the result is still considered valid and is sent to the client.
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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 sizes of recognition zone and plate

size

image

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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) is ignored by the recognition engine. By default, if recognition zone is not specified, license plates are searched on the whole frame. 

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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. (finally) Send your recognition request

Results viewing

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Step 7. View the result from your VIT Recognition System

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