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:
- VIT Recognition Server connection settings.
- Recognition settings which specify how your image should be processed.
- Recognition request data you will receive as part of recognition result.
- Recognition response data (recognition result will be displayed here).
- Recognition history: list of sent requests and the corresponding results (new requests on the top).
- 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.
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
Step 4. Change zone and plate size
- Edit plate size — allows to visually specify the license plate sizes which will be taken into account while recognizing your image:
Minimum size of license plate's image. If its size is less than this value, the system ignores the license plate.
Maximum size of license plate's image. If its size exceeds this value, the system will ignore the license plate.
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 rest of the image (not included into the zone).
Step 5. Select the license plate templates
Step 5. Clarify your recognition request
Activate the checkboxes in accordance to what images you want to receive with your recognition result.