Face Recognition SDK Android with 3D Passive Liveness Detection - Fully On Premise

Overview

Explore face recognition SDK from Faceplugin Top-ranked on NIST FRVT , coupled with an advanced iBeta level 2 liveness detection engine that effectively safeguards against printed photos, video replay, 3D masks, and deepfake threats, ensuring top-tier security.
<br>This is on-premise face recognition SDK which means everything is processed in your phone and NO data leaves the device.
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Try this APP on Google Play

Screenshots

On the Youtube

Install License

The code below shows how to use the license: https://github.com/Faceplugin-ltd/FaceRecognition-Android/blob/370ecadae564788eaa84f288e342da742fde0c1a/app/src/main/java/com/faceplugin/facerecognition/MainActivity.kt#L30-L45

Please contact us to get the license.

Documentation

<a name="setup"><h3>Setup</h3></a>
Copy the SDK (libfacesdk folder) to the root folder in your project.

Add SDK to the project in settings.gradle

rootProject.name = "YourProjectName"
include ':app'
include ':libfacesdk'

Add dependency to your build.gradle

implementation project(path: ':libfacesdk')

<h4> Activate SDK using license </h4>

java
public static native int setActivation(java.lang.String s);

<h4> Init model for face recognition and liveness detection </h4>

java
public static native int init(AssetManager var0);

<h4> Convert camera frame in YUV to Bitmap </h4>

java
public static native Bitmap yuv2Bitmap(byte[] var0, int var1, int var2, int var3);

<h4> Run face recognition and liveness detection </h4>

java
public static native List<FaceBox> faceDetection(Bitmap var0, FaceDetectionParam var1);

<h4> Extract feature vector for the enrollment </h4>

java
public static native byte[] templateExtraction(Bitmap var0, FaceBox var1);

<h4> Calculate cosine similarity for the matching </h4>

java
public static native float similarityCalculation(byte[] var0, byte[] var1);

<a name="sdk-code"><h3>SDK Codes</h3></a>

Code	Status
0	Activate SDK successfully
-1	Invalid License Key
-2	Invalid AppID
-3	Expired License Key
-4	Activation Failed
-5	SDK Failed

<a name="classes"><h3>Classes</h3></a>

<h4>FaceResult</h4>

Type	Name	Description
Rect	rect	Bounding box for face
int	liveness	Liveness status: 0 for spoof, 1 for real, less than 0 for unknown
int	gender	Gender classification result
int	mask	Mask presence: 0 for no mask, 1 for mask
int	age	Age estimation result
float	yaw	Yaw angle: -45 to 45 degrees
float	roll	Roll angle: -45 to 45 degrees
float	pitch	Pitch angle: -45 to 45 degrees
byte[]	feature	2056-byte facial feature data
byte[]	faceData	Encrypted facial data
int	orient	Face orientation: 1 for no rotation, 2 for 90° rotation, 3 for 270° rotation, 4 for 180° rotation
int	faceId	Face ID in the tracking face mode

java
public class FaceResult {
    public Rect rect;
    public int liveness;
    public int gender;
    public int mask;
    public int age;
    public float yaw;
    public float roll;
    public float pitch;
    public byte[] feature;
    public byte[] faceData;
    public int    orient;
    public int faceId;
    
    public FaceResult() {
    }
}