FR Health Card

FR Health Card

The Java SDK supports the Mindee V1 Health Card API.

Product Specifications

Specification
Details

Endpoint Name

french_healthcard

Recommended Version

v1.0

Supports Polling/Webhooks

✔️ Yes

Support Synchronous HTTP Calls

❌ No

Geography

🇫🇷 France

Quick-Start

Using the sample below, we are going to illustrate how to extract the data that we want using the SDK.

Health Card Sample

Sample Code

import com.mindee.MindeeClient;
import com.mindee.input.LocalInputSource;
import com.mindee.parsing.common.AsyncPredictResponse;
import com.mindee.product.fr.healthcard.HealthCardV1;
import java.io.File;
import java.io.IOException;

public class SimpleMindeeClient {

  public static void main(String[] args) throws IOException, InterruptedException {
    String apiKey = "my-api-key";
    String filePath = "/path/to/the/file.ext";

    // Init a new client
    MindeeClient mindeeClient = new MindeeClient(apiKey);

    // Load a file from disk
    LocalInputSource inputSource = new LocalInputSource(new File(filePath));

    // Parse the file asynchronously
    AsyncPredictResponse<HealthCardV1> response = mindeeClient.enqueueAndParse(
        HealthCardV1.class,
        inputSource
    );

    // Print a summary of the response
    System.out.println(response.toString());

    // Print a summary of the predictions
//  System.out.println(response.getDocumentObj().toString());

    // Print the document-level predictions
//    System.out.println(response.getDocumentObj().getInference().getPrediction().toString());

    // Print the page-level predictions
//    response.getDocumentObj().getInference().getPages().forEach(
//        page -> System.out.println(page.toString())
//    );
  }

}

Sample Output (rST)

########
Document
########
:Mindee ID: 9ee2733d-933a-4dcd-a73a-a31395e3b288
:Filename: default_sample.jpg

Inference
#########
:Product: mindee/french_healthcard v1.0
:Rotation applied: Yes

Prediction
==========
:Given Name(s): NATHALIE
:Surname: DURAND
:Social Security Number: 2 69 05 49 588 157 80
:Issuance Date: 2007-01-01

Field Types

Standard Fields

These fields are generic and used in several products.

BaseField

Each prediction object contains a set of fields that inherit from the generic BaseField class. A typical BaseField object will have the following attributes:

  • confidence (Double): the confidence score of the field prediction.

  • boundingBox (Polygon): contains exactly 4 relative vertices (points) coordinates of a right rectangle containing the field in the document.

  • polygon (Polygon): contains the relative vertices coordinates (polygon extends List<Point>) of a polygon containing the field in the image.

  • pageId (Integer): the ID of the page, always null when at document-level.

A Point simply refers to a List of Double.

Aside from the previous attributes, all basic fields have access to a custom toString method that can be used to print their value as a string.

StringField

The text field StringField extends BaseField, but also implements:

  • value (String): corresponds to the field value.

  • rawValue (String): corresponds to the raw value as it appears on the document.

DateField

The date field DateField extends BaseField, but also implements:

  • value (LocalDate): an accessible representation of the value as a Java object. Can be null.

Attributes

The following fields are extracted for Health Card V1:

Given Name(s)

givenNames: The given names of the card holder.

for (givenNamesElem : result.getDocument().getInference().getPrediction().getGivenNames())
{
    System.out.println(givenNamesElem.value);
}

Issuance Date

issuanceDate: The date when the carte vitale document was issued.

System.out.println(
  result.getDocument().getInference().getPrediction().getIssuanceDate().value
);

Social Security Number

socialSecurity: The social security number of the card holder.

System.out.println(
  result.getDocument().getInference().getPrediction().getSocialSecurity().value
);

Surname

surname: The surname of the card holder.

System.out.println(
  result.getDocument().getInference().getPrediction().getSurname().value
);

Last updated

Was this helpful?