/FaceLivenessDetection-Android

The project for 3D passive face liveness detection, face anti-spoofing, face fraudulent check, face liveness check and face fraud detection on Android.

Primary LanguageJava

🤗 Hugging Face - Here

📚 Product & Resources - Here

🛟 Help Center - Here

💼 KYC Verification Demo - Here

🙋‍♀️ Docker Hub - Here

FaceLivenessDetection-Android

Overview

This repository showcases real-time Face Liveness Detection technology on Android device.

In this repository, we integrated KBY-AI's face liveness(face anti-spoofing) solution into Android platform.

◾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
➡️ 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
10 Face Attribute - Flutter Premium SDK

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

Try the APK

Google Play

Performance Video

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

Face Recognition Android

SDK License

This project uses KBY-AI's liveness detection SDK. The SDK requires a license per application ID.

About SDK

Set up

  1. Copy the SDK (libfacesdk folder) to the root folder in your project.

  2. Add SDK to the project in settings.gradle.

include ':libfacesdk'
  1. Add dependency to your build.gradle.
implementation project(path: ':libfacesdk')

Initializing an SDK

  • Step One

To begin, you need to activate the SDK using the license that you have received.

FaceSDK.setActivation("...")

If activation is successful, the return value will be SDK_SUCCESS. Otherwise, an error value will be returned.

  • Step Two

After activation, call the SDK's initialization function.

FaceSDK.init(getAssets());

If initialization is successful, the return value will be SDK_SUCCESS. Otherwise, an error value will be returned.

Face Detection and Liveness Detection

The FaceSDK offers a single function for detecting face and liveness detection, which can be used as follows:

FaceSDK.faceDetection(bitmap)

This function takes a single parameter, which is a bitmap object. The return value of the function is a list of FaceBox objects. Each FaceBox object contains the detected face rectangle, liveness score, and facial angles such as yaw, roll, and pitch.

Yuv to Bitmap

The SDK provides a function called yuv2Bitmap, which converts a yuv frame to a bitmap. Since camera frames are typically in yuv format, this function is necessary to convert them to bitmap. The usage of this function is as follows:

Bitmap bitmap = FaceSDK.yuv2Bitmap(nv21, image.getWidth(), image.getHeight(), 7);

The first parameter is an nv21 byte array containing the yuv data.

The second parameter is the width of the yuv frame, and the third parameter is its height.

The fourth parameter is the conversion mode, which is determined by the camera orientation.

To determine the appropriate conversion mode, the following method can be used:

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