👏 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.
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.
| 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 |
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)
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.
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The code below shows how to use the license: https://github.com/kby-ai/FaceRecognition-Flutter/blob/0ed0fea9f86d73d08aff81e25da479c62f2ebc05/lib/main.dart#L68-L94
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To request a license, please contact us:
Email: contact@kby-ai.com
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
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Copy the SDK (libfacesdk folder) to the 'android' folder of your project.
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Add SDK to the project in settings.gradle
include ':libfacesdk'
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Copy 'facesdk_plugin' folder to the root folder of your project.
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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.