Silent Liveness

• 1.Product Description

  • 1.1 Introduction
  • 1.2 Process Flow
  • 1.3 Anti-hack Flow
  • 1.4 The Current Version

• 2.Quick Integration Guide

  • 2.1 Note
  • 2.2 Quick Integration
  • 2.3 Start Detection
  • 2.4 AndroidX Migration

1.Product Description

1.1 Introduction

The purpose of liveness detection is to detect whether a face is “alive” or just a fraudulent reproduction.

To ensure a faster and more convenient protection against spoofing, silent liveness detection is used. Silent liveness detection is non-intrusive. In other words, there is usually no way for the user to know they are being tested. The system does everything on its own – users don’t have to pay any attention at all.

1.2 Process Flow

1.3 Anti-hack Flow

1. Mobile SDK: You should integrate it in your Android application first, this will help you to capture face image.
2. Server API(Anti-hack): It will help to check whether the face in uploaded encrypt buffer is real face or not, Server API Doc . In Silent liveness SDK, we have implemented this API.

1.4 App Increments

Support cpu structures: armeabi-v7a,arm64-v8a.
SDK dual architecture compilation increments is 2.4M, and armeabi-v7a compilation increments 1.9M, arm64-v8a compilation increments 2.0M.
The minimum support system version Android4.2.

2.Quick Integration Guide

2.1 Note

License file (DFLicense) is used to control the package name and valid time of the program (the time range can be obtained by directly viewing the content of the file). Please make sure that the package name of the program is the same as the package name bound to the license.

2.2 Quick Integration

We supply two different integration modes for you to integrate liveness into your application.

2.2.1 Integration with maven

1. Open any Android project and add the following maven repository configuration to the project's build.gradle.

    maven {
         url 'https://maven.accuauth.com/repository/maven-releases/'
         // If your gradle version is greater than 7.0, you need to add the following configuration to allow pulling aar via http
         allowInsecureProtocol = true
    }
   

2. Add library dependencies to the project's app module build.gradle.

    implementation 'com.dfsdk.liveness:df-liveness-silent-sdk:2.2.2@aar'
    implementation 'com.liveness.dflivenesslibrary:df-liveness-silent-ui:1.0.8@aar'
   

3. Add DFLicense file to your project's assets directory.

2.2.2 Integration with library module

Please follow below steps to integrate silent liveness into your app.</br>

SDK Directory Structure

Quick Integration

Before you use the SDK, you need to integrate it into your development environment first.

1. Import DFLivenessSilentDemo's DFLivenessLibrary module to your project by File->New->importModule->Select the DFLivenessLibrary in DFLivenessSilentDemo folder->Continuously click Next to complete the import.

2. Add the following code to the build.gradle in your application.

     repositories {
        flatDir {
                dirs project(':DFLivenessLibrary').file('libs')
        }
     }
   

3. Add following code in the dependencies{} section of build.gradle.

    compile project(':DFLivenessLibrary')
   

   For example:

    allprojects {
        repositories {
            google()
            jcenter()
   
            flatDir {
                dirs project(':DFLivenessLibrary').file('libs')
            }
   
        }
    }
   
     dependencies {
         compile project('DFLivenessLibrary')
     }
   

4. Add DFLicense file to your project's assets directory.

2.3 Start Detection

Make sure your own Appliction class to implement DFTransferResultInterface interface

If you do not have your own Application class, please customize it.

public class MyApplication extends Application implements DFTransferResultInterface {

    private DFProductResult mResult;

    @Override
    public void setResult(DFProductResult result) {
        mResult = result;
    }

    @Override
    public DFProductResult getResult() {
        return mResult;
    }
}

Launch detection

Bundle bundle = new Bundle();

Intent intent = new Intent();
intent.setClass(this, DFSilentLivenessActivity.class);
intent.putExtras(bundle);
//Enable to get image result
intent.putExtra(DFSilentLivenessActivity.KEY_DETECT_IMAGE_RESULT, true);
startActivityForResult(intent, KEY_TO_DETECT_REQUEST_CODE);

Use onActivityResult to receive data

Get SDK result by onActivityResult(int requestCode, int resultCode, Intent data) function.

if resultCode == Activity.RESULT_OK, the liveness detect success, otherwise liveness detect fail.

To anti-hack, send livenessEncryptResult buffer to Server API

if (resultCode == RESULT_OK) {
    DFProductResult mResult = ((DFTransferResultInterface) getActivity().getApplication()).getResult();

    ///get key frame
    DFLivenessSDK.DFLivenessImageResult[] imageResultArr = mResult.getLivenessImageResults();

    if (imageResultArr != null) {
        int size = imageResultArr.length;
        if (size > 0) {
               DFLivenessSDK.DFLivenessImageResult imageResult = imageResultArr[0];
               Bitmap imageBitmap = BitmapFactory.decodeByteArray(imageResult.image, 0, imageResult.image.length);
          }
     }

      // the encrypt buffer which is used to send to anti-hack API
      byte[] livenessEncryptResult = mResult.getLivenessEncryptResult()
} else {
    Log.e("onActivityResult", "silent liveness cancel，error code:" + resultCode);
}

When liveness detect fail, the error code(resultCode) refers to the error code

2.5 AndroidX Migration

The gradle plug-in version of build.gradle in the application should be no less than 3.2

classpath 'com.android.tools.build:gradle:3.2.0'

compileSdkVersion and targetSdkVersion are not less than 28

compileSdkVersion 28
defaultConfig {
        targetSdkVersion 28
    }

AS 3.2 or above version provides a much faster and easier way to migrate to AndroidX with one click.Select ReFactor on the menu - Migrate to AndroidX...

peru