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A Flutter plugin for Caf.io solution for document detection. It uses advanced computer vision algorithms to identify and extract documents from photos or camera frames.

example/lib/main.dart

import 'package:caf_document_detector/android_settings/android_settings.dart';
import 'package:caf_document_detector/android_settings/security_settings.dart';
import 'package:caf_document_detector/capture_preview_settings.dart';
import 'package:caf_document_detector/document_capture_flow.dart';
import 'package:caf_document_detector/document_captures_model.dart';
import 'package:caf_document_detector/document_detector_events.dart';
import 'package:caf_document_detector/enums.dart';
import 'package:caf_document_detector/document_detector.dart';
import 'package:caf_document_detector/upload_settings.dart';

import 'package:flutter/material.dart';
import 'package:flutter/services.dart';

void main() {
  runApp(const MyApp());
}

class MyApp extends StatefulWidget {
  const MyApp({Key? key}) : super(key: key);

  @override
  State<MyApp> createState() => _MyAppState();
}

class _MyAppState extends State<MyApp> {
  String _resultEvent = "";
  String _resultDescription = "";

  String mobileToken = "";
  String personId = "";

  var personIdController = TextEditingController();
  var mobileTokenController = TextEditingController();
  bool isBeta = true;

  @override
  void initState() {
    super.initState();
  }

  void startDocumentDetector(List<DocumentCaptureFlow> captureFlow) async {
    personId = personIdController.text;
    mobileToken = mobileTokenController.text;

    String resultEvent = "";
    String resultDescription = "";

    DocumentDetector documentDetector =
        DocumentDetector(mobileToken: mobileToken, captureFlow: captureFlow);

    AndroidSettings androidSettings = AndroidSettings(
        securitySettings: SecuritySettings(
            useAdb: true,
            useDebug: true,
            useDeveloperMode: true,
            useEmulator: true,
            useRoot: true));

    documentDetector.setAndroidSettings(androidSettings);
    documentDetector.setNetworkSettings(20);
    documentDetector.setStage(isBeta ? CafStage.beta : CafStage.prod);
    documentDetector.setPersonId(personId);
    documentDetector.setPreviewSettings(PreviewSettings(show: true));

    try {
      DocumentDetectorEvent event = await documentDetector.start();

      if (event is DocumentDetectorEventSuccess) {
        resultEvent = "SUCCESS";
        resultDescription = "Document Type: ${event.documentType}\n\n";
        for (Capture capture in event.captures!) {
          resultDescription += "#NEW CAPTURE\n";
          resultDescription += capture.label != null
              ? "Document Label: ${capture.label!}\n"
              : "empty\n";
          resultDescription += capture.quality != null
              ? "Image Quality: ${capture.quality}\n"
              : "empty\n";
          resultDescription += capture.imagePath != null
              ? "File path on device: ${capture.imagePath!}\n"
              : "empty\n";
          resultDescription += capture.imageUrl != null
              ? "File URL: ${capture.imageUrl!.split("?")[0]}\n"
              : "empty\n";
        }
      } else if (event is DocumentDetectorEventFailure) {
        resultEvent = "FAILURE";
        resultDescription = event.errorType != null
            ? "Failure Type: ${event.errorType}\n"
            : "empty\n";
        resultDescription += event.errorMessage != null
            ? "Failure Description: ${event.errorMessage}\n"
            : "empty\n";
        resultDescription += event.securityErrorCode != null
            ? "Security code: ${event.securityErrorCode}\n"
            : "none\n";
      } else if (event is DocumentDetectorEventClosed) {
        resultEvent = "CLOSED";
        resultDescription = "User closed document capture flow";
      }
    } on PlatformException catch (e) {
      resultEvent = "Error";
      resultDescription = "Error starting DocumentDetector: ${e.message}";
    }

    if (!mounted) return;

    setState(() {
      _resultEvent = resultEvent;
      _resultDescription = resultDescription;
    });
  }

  void startDocumentDetectorUploadFlow(
      List<DocumentCaptureFlow> captureFlow) async {
    personId = personIdController.text;
    mobileToken = mobileTokenController.text;

    String resultEvent = "";
    String resultDescription = "";

    DocumentDetector documentDetector =
        DocumentDetector(mobileToken: mobileToken, captureFlow: captureFlow);

    UploadSettings uploadSettings = UploadSettings();

    AndroidSettings androidSettings = AndroidSettings(
        securitySettings: SecuritySettings(
            useAdb: true,
            useDebug: true,
            useDeveloperMode: true,
            useEmulator: true,
            useRoot: true));

    documentDetector.setUploadSettings(uploadSettings);
    documentDetector.setAndroidSettings(androidSettings);
    documentDetector.setPersonId(personId);
    documentDetector.setStage(isBeta ? CafStage.beta : CafStage.prod);

    try {
      DocumentDetectorEvent event = await documentDetector.start();

      if (event is DocumentDetectorEventSuccess) {
        resultEvent = "SUCCESS";
        resultDescription = "Document Type: ${event.documentType}\n\n";
        for (Capture capture in event.captures!) {
          resultDescription += "#NEW CAPTURE\n";
          resultDescription += capture.label != null
              ? "Document Label: ${capture.label!}\n"
              : "empty\n";
          resultDescription += capture.quality != null
              ? "Image Quality: ${capture.quality}\n"
              : "empty\n";
          resultDescription += capture.imagePath != null
              ? "File path on device: ${capture.imagePath!}\n"
              : "empty\n";
          resultDescription += capture.imageUrl != null
              ? "File URL: ${capture.imageUrl!.split("?")[0]}\n"
              : "empty\n";
        }
      } else if (event is DocumentDetectorEventFailure) {
        resultEvent = "FAILURE";
        resultDescription = event.securityErrorCode != null
            ? "Security code: ${event.securityErrorCode}\n"
            : "none\n";
        resultDescription += event.errorMessage != null
            ? "Failure Description: ${event.errorMessage}\n"
            : "empty\n";
      } else if (event is DocumentDetectorEventClosed) {
        resultEvent = "CLOSED";
        resultDescription = "User closed document capture flow";
      }
    } on PlatformException catch (e) {
      resultEvent = "Error";
      resultDescription = "Error starting DocumentDetector: ${e.message}";
    }

    if (!mounted) return;

    setState(() {
      _resultEvent = resultEvent;
      _resultDescription = resultDescription;
    });
  }

  @override
  Widget build(BuildContext context) {
    return MaterialApp(
      home: Scaffold(
          appBar: AppBar(
            title: const Text('DocumentDetector 7 Flutter Playground',
                softWrap: true, maxLines: 2, textAlign: TextAlign.center),
          ),
          body: Container(
              margin: const EdgeInsets.all(20.0),
              child: Column(
                children: [
                  Row(
                    children: [
                      Expanded(
                        child: TextField(
                          controller: mobileTokenController,
                          decoration: const InputDecoration(
                            border: OutlineInputBorder(),
                            labelText: 'Insert mobileToken here',
                          ),
                        ),
                      )
                    ],
                  ),
                  const SizedBox(height: 10.0),
                  Row(
                    children: [
                      Expanded(
                        child: TextField(
                          controller: personIdController,
                          decoration: const InputDecoration(
                            border: OutlineInputBorder(),
                            labelText: 'Insert your ID/CPF here',
                          ),
                        ),
                      )
                    ],
                  ),
                  Row(
                    children: [
                      Expanded(
                        child: SwitchListTile(
                            title: const Text('Beta'),
                            value: isBeta,
                            onChanged: (bool value) {
                              setState(() {
                                isBeta = value;
                              });
                            }),
                      )
                    ],
                  ),
                  Row(
                    children: [
                      ElevatedButton(
                        child: const Text('CNH front-back flow'),
                        onPressed: () async {
                          startDocumentDetector([
                            DocumentCaptureFlow(
                                documentType: DocumentType.cnhFront),
                            DocumentCaptureFlow(
                                documentType: DocumentType.cnhBack)
                          ]);
                        },
                      )
                    ],
                  ),
                  Row(
                    children: [
                      ElevatedButton(
                        child: const Text('RG front-back flow'),
                        onPressed: () async {
                          startDocumentDetector([
                            DocumentCaptureFlow(
                                documentType: DocumentType.rgFront),
                            DocumentCaptureFlow(
                                documentType: DocumentType.rgBack)
                          ]);
                        },
                      )
                    ],
                  ),
                  Row(
                    children: [
                      ElevatedButton(
                        child: const Text('CNH full Upload flow'),
                        onPressed: () async {
                          startDocumentDetectorUploadFlow([
                            DocumentCaptureFlow(
                                documentType: DocumentType.cnhFull),
                          ]);
                        },
                      )
                    ],
                  ),
                  Row(
                    children: [
                      Container(
                          margin: const EdgeInsets.only(top: 10.0),
                          child: Text("Result Event: $_resultEvent"))
                    ],
                  ),
                  Expanded(
                    child: SingleChildScrollView(
                      child: Row(
                        mainAxisAlignment: MainAxisAlignment.spaceBetween,
                        children: [
                          Expanded(
                            child: Text(
                              "Content: \n$_resultDescription",
                            ),
                          ),
                        ],
                      ),
                    ),
                  ),
                ],
              ))),
    );
  }
}
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Publisher

unverified uploader

A Flutter plugin for Caf.io solution for document detection. It uses advanced computer vision algorithms to identify and extract documents from photos or camera frames.

Homepage

Documentation

API reference

License

MIT (license)

Dependencies

flutter, plugin_platform_interface

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