Our facial recognition algorithm is globally top-ranked by NIST in the FRVT 1:1 leaderboards.
(Latest NIST frvt evaluation report 2024-12-20)

🆔 ID Document Liveness Detection - Linux - Here

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🙋‍♀️ Docker Hub - Here

FaceAttribute-Flutter

Overview

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.

◾FaceSDK(Mobile) Details

Basic	Standard	🔽 Premium
Face Detection	Face Detection	Face Detection
Face Liveness Detection	Face Liveness Detection	Face Liveness Detection
Pose Estimation	Pose Estimation	Pose Estimation
	Face Recognition	Face Recognition
		68 points Face Landmark Detection
		Face Quality Calculation
		Face Occlusion Detection
		Eye Closure Detection
		Age, Gender Estimation

◾FaceSDK(Mobile) Product List

No.	Repository	SDK Details
1	Face Liveness Detection - Android	Basic SDK
2	Face Liveness Detection - iOS	Basic SDK
3	Face Recognition - Android	Standard SDK
4	Face Recognition - iOS	Standard SDK
5	Face Recognition - Flutter	Standard SDK
6	Face Recognition - Ionic-Cordova	Standard SDK
7	Face Recognition - React-Native	Standard SDK
8	Face Attribute - Android	Premium SDK
9	Face Attribute - iOS	Premium SDK
➡️	Face Attribute - Flutter	Premium SDK

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

Try with Demo App

Google Play

Performance Video

You can visit our YouTube video here to see how well our demo app works.

Screenshots

SDK License

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: contact@kby-ai.com
  🧙Telegram: @kbyai
  🧙WhatsApp: +19092802609
  🧙Skype: live:.cid.66e2522354b1049b
  🧙Discord: KBY-AI
  

How To Run

1. Flutter Setup

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.

2. Running the App

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.

About SDK

1. Setup

1.1 Setting Up Face SDK

Android

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

include ':libfacesdk'

1.2 Setting Up Face SDK Plugin

• 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';

2 API Usages

2.1 Facesdk Plugin

• 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;

2.2 FaceDetectionInterface

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.