This repo performs face auto-capture functionality on real-time mobile camera.
It also supports the following functionalities: face liveness detection, face recognition, pose estimation, face quality calculation, face landmark detection, face occlusion detection, eye closure detection, age/gender estimation.

In this repository, we integrated KBY-AI's face premium SDK into the Flutter project for both Android and iOS.

To get Face SDK(server), please visit products here.

To run this repo successfully, license should be required based on each application ID.

• The code below shows how to use the license:

  FaceAttribute-Flutter/lib/main.dart

  Lines 71 to 79 in d5e05cd

  	if (Platform.isAndroid) {
  	await _facesdkPlugin
  	.setActivation(
  	"uv4FFhzjRNjCS5HdY4JmdTB3Rxp15p1spg5Q+DWy+kjZk5ExrLyzBIzwPcwNfYPFAnTlQkq395oT"
  	"3S6/WBAGP4keZbA+XZ5PRUn+43DG+y9aQKOU03RM2/bg6SdN1bRLW0Jfc56CCH0c6+7xqCoDRauH"
  	"iPIJsFMjJQdjA64MM9uZDj1hdDOF5nCHj/9Lq8Or56inZY5POs5qo9Y4kJuIfIVTCbzLMQHwSo9B"
  	"urvnJFUT9jtsIhbseAhZPrHfZGVCehCyYE9HSkXLok+omARw+VUnmBeDwbS+HBy4/7DqCotK5MMK"
  	"QOp4XocTLg6Vx0PYOwMF4Wdw9LCjknYhRp3/Og==")
  	.then((value) => facepluginState = value ?? -1);

• To request a license, please contact us:
  🧙Email: [email protected]
  🧙Telegram: @kbyai
  🧙WhatsApp: +19092802609
  🧙Skype: live:.cid.66e2522354b1049b
  🧙Facebook: https://www.facebook.com/KBYAI
  

Make sure you have Flutter installed.
This repo has been built with Flutter version 3.24.5.
If you don't have Flutter installed, please follow the instructions provided in the official Flutter documentation here.

Run the following commands:

flutter pub upgrade
flutter run

If you plan to run the iOS app, please refer to the following link for detailed instructions.

Android

• Copy the SDK (folder libfacesdk) to the folder android in your project.
  
• Add SDK to the project in settings.gradle.

include ':libfacesdk'

• Copy the folder facesdk_plugin to the root folder of your project.
  
• Add the dependency in your pubspec.yaml file.

  facesdk_plugin:
    path: ./facesdk_plugin

• Import the facesdk_plugin package.

  import 'package:facesdk_plugin/facesdk_plugin.dart';
  import 'package:facesdk_plugin/facedetection_interface.dart';

• Activate the FacesdkPlugin by calling the setActivation method:

  final _facesdkPlugin = FacesdkPlugin();
  ...
  await _facesdkPlugin
          .setActivation(
              "Os8QQO1k4+7MpzJ00bVHLv3UENK8YEB04ohoJsU29wwW1u4fBzrpF6MYoqxpxXw9m5LGd0fKsuiK"
              "fETuwulmSR/gzdSndn8M/XrEMXnOtUs1W+XmB1SfKlNUkjUApax82KztTASiMsRyJ635xj8C6oE1"
              "gzCe9fN0CT1ysqCQuD3fA66HPZ/Dhpae2GdKIZtZVOK8mXzuWvhnNOPb1lRLg4K1IL95djy0PKTh"
              "BNPKNpI6nfDMnzcbpw0612xwHO3YKKvR7B9iqRbalL0jLblDsmnOqV7u1glLvAfSCL7F5G1grwxL"
              "Yo1VrNPVGDWA/Qj6Z2tPC0ENQaB4u/vXAS0ipg==")
          .then((value) => facepluginState = value ?? -1);  

• Initialize the FacesdkPlugin:

await _facesdkPlugin
          .init()
          .then((value) => facepluginState = value ?? -1)

• Set parameters using the setParam method:

await _facesdkPlugin.setParam({
      'check_liveness_level': livenessLevel ?? 0,
      'check_eye_closeness': true,
      'check_face_occlusion': true,
      'check_mouth_opened': true,
      'estimate_age_gender': true
    });

• Extract faces using the extractFaces method:

final faces = await _facesdkPlugin.extractFaces(image.path)

• Calculate the similarity between faces using the similarityCalculation method:

double similarity = await _facesdkPlugin.similarityCalculation(
              face['templates'], person.templates) ??
          -1;

To build the native camera screen and process face detection, please refer to the lib/facedetectionview.dart file in the repository.

This file contains the necessary code for implementing the camera screen and performing face detection.