👏 Product List

https://github.com/kby-ai/Product

👏 We have published the Face Liveness Detection, Face Recognition SDK and ID Card Recognition SDK for the server.

• FaceLivenessDetection-Docker

• FaceRecognition-Docker

• IDCardRecognition-Docker

This project is a Face Recognition and Face Liveness Detection project for Flutter.

The demo is integrated with KBY-AI's Standard Face Mobile SDK.

Face Liveness Detection - Android(Basic SDK)

Face Liveness Detection - iOS(Basic SDK)

Face Recognition - Android(Standard SDK)

Face Recognition - iOS(Standard SDK)

Face Recognition - Flutter(Standard SDK)

Face Recognition - React-Native(Standard SDK)

Face Attribute - Android(Premium SDK)

Face Attribute - iOS(Premium SDK)

https://drive.google.com/file/d/1cn_89fYDYhq8ANXs2epO-KBv7p5ZnWcA/view?usp=sharing

The face recognition project relies on kby-ai's SDK, which requires a license for each application ID.

• The code below shows how to use the license: https://github.com/kby-ai/FaceRecognition-Flutter/blob/0ed0fea9f86d73d08aff81e25da479c62f2ebc05/lib/main.dart#L68-L94

• To request a license, please contact us:

Email: [email protected]

Telegram: @kbyai

WhatsApp: +19092802609

Skype: live:.cid.66e2522354b1049b

Make sure you have Flutter installed.

We have tested the project with Flutter version 3.10.2.

If you don't have Flutter installed, please follow the instructions provided in the official Flutter documentation: https://docs.flutter.dev/get-started/install

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: https://docs.flutter.dev/deployment/ios

Android

• Copy the SDK (libfacesdk folder) to the 'android' folder of your project.

• Add SDK to the project in settings.gradle

include ':libfacesdk'

• Copy 'facesdk_plugin' folder 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})

• Extract faces using the 'extractFaces' method:

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

• Calculate 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.