Face Recognition Android SDK

Face recognition Android SDK with liveness detection

Code

GitHub - Faceplugin-ltd/FaceRecognition-Android: Face Recognition, Face Liveness Detection, Face Anti-Spoofing, Face Detection, Face Landmarks, Face Compare, Face Matching, Face Pose, Face Expression, Face Attributes, Face Templates Extraction, Face LandmarksGitHub

Setup

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

2. Add SDK to the project in settings.gradle

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

1. Add dependency to your build.gradle

implementation project(path: ':libfacesdk')

APIs

setActivation: This API is used to activate the SDK

public static native int setActivation(String var0);

Input	var0 (String): The license string
Return value	The SDK activation status code. 0: Success Non-zero: Activation failed

init: This API is used to initialize the SDK

public static native int init(AssetManager var0);

Input	var0 (AssetManager): An instance of AssetManager used to access application assets
Return value	The SDK initialization status code. 0: Success -1: License Key Error -2: License AppID Error -3: License Expired -4: Activate Error -5: Initialize SDK Error

faceDetection: This API is used to detect faces

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

Input	var0 (Bitmap): The Bitmap image var1 (FaceDetectionParam): Parameters for face detection
Return value	A list of FaceBox objects representing the detected faces.

templateExtraction: This API is used to extract face template

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

Input	var0 (Bitmap): The Bitmap image var1 (FaceBox): The bounding box of the detected face
Return value	A byte array representing the extracted template from the face

similarityCalculation: This API is used to calculate the similarity between two face templates

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

Input	var0 (byte[]): The byte array representing the first face template var1 (byte[]): The byte array representing the second face template
Return value	A float value representing the similarity score between the two face templates The score ranges from 0.0 to 1.0 Default Threshold is 0.8