π€ Hugging Face - Here
π Product & Resources - Here
π Help Center - Here
πΌ KYC Verification Demo - Here
πββοΈ Docker Hub - Here
This repository demonstrates both face liveness detectio
n and face recognition
technology for Flutter
on Android
and iOS
platforms.
In this repository, we integrated
KBY-AI
'sface liveness detection
andface recognition
technology into thisFlutter
project for bothAndroid
andiOS
.
Basic | π½ 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 |
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 |
β‘οΈ | 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 |
10 | Face Attribute - Flutter | Premium SDK |
To get
Face SDK(server)
, please visit products here.
You can visit our YouTube video here to see how well our demo app works.
This repo integrated KBY-AI
's face recognition SDK
, which requires a license for each application ID
.
-
The code below shows how to use the license:
FaceRecognition-Flutter/lib/main.dart
Lines 68 to 94 in 0ed0fea
-
To request a license, please contact us:
π§Email:
[email protected]
π§Telegram:
@kbyai
π§WhatsApp:
+19092802609
π§Skype:
live:.cid.66e2522354b1049b
π§Facebook:
https://www.facebook.com/KBYAI
Make sure you have Flutter
installed.
We have tested the project 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.
To create a release APK, configure ProGuard as described in this file:
Android
- Copy the SDK (folder
libfacesdk
) to the folderandroid
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 thesetActivation
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 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.