Identity Document Detection

Use tensor flow lite for detect identity documents on mobile devices

Platform Support

NOTE: The package maybe add support on future.

	Android	iOS	macOS	Windows	Linux
Support	✔	✔	✖	✖	✖

Features

Use this plugin in your Flutter app to:

• Not required network connection.
• Run on single image and real time.
• Detect type of a card.
• Detect side of document.
• Detect position on image.

on future must detect brightness and sharpness

Getting started

1. Add identity_document_detection to your pubspec.yaml:

   dependencies:
     identity_document_detection: latest_version
   

2. Run flutter pub get to install.

Usage

You have 2 ways to use it:

1. Using the IdentityDetector widget

class DetectorPage extends StatelessWidget {
  const DetectorPage({super.key});

  @override
  Widget build(BuildContext context) {
    return Center(
      child: IdentityDetector(
        options: IDOptions(
          confidence: 0.85,
          detection: IDTypeDetection.multiple,
          onDocumentDetect: (recognitions) {
            // TODO: Add your own logic here
          },
        ),
      ),
    );
  }
}

2. Creating IDController and initializing it

final detector = await IDController.initialize(widget.options);
_detector = detector;
_subscription = detector.stream.listen((values) {
  final painter = ObjectDetectorPainter(values);
  _customPaint = CustomPaint(painter: painter);
  setState(() {});
});

Callback to receive each frame CameraImage perform inference on it

void onImageAvailable(CameraImage cameraImage) async {
  _detector?.processFrame(cameraImage);
}

And for dispose you should use

_detector?.stop();

Coming soon

• Detect brightness on image.
• Detect sharpness on document.