meablelee2013/firebase-liveness-detection

Firebase-Liveness-Detection

Lightweight Liveness Detection using Firebase ML Kit - file size less than 5 Mb. Currently only available on detecting left and right head movement

Implementation

Add maven script

   allprojects {
       repositories {
           jcenter()
           maven {
                url 'https://dl.bintray.com/novanto/LivenessDetection'
           }
       }
   }

Add your google-services.json file to the app

Add this script to your app gradle file:

dependencies {
    implementation 'com.google.firebase:firebase-core:16.0.8'
    implementation 'com.google.firebase:firebase-ml-vision:19.0.3'
    implementation 'id.privy.livenessfirebasesdk:livenessDetection:0.0.6'
}    

Add builder to your activity to start

LivenessApp livenessApp = LivenessApp.Builder(this)  
			 .setDebugMode(false) //to enable face landmark detection 
			 .setSuccessText($SUCCESSTEXT) 
			 .setInstructions($INSTRUCTIONS) 
			 .setMotionInstruction($LEFT_MOTION_INSTRUCTION", $RIGHT_MOTION_INSTRUCTION)
			 .build()

Initiate with callback

 livenessapp.start(object : PrivyCameraLivenessCallBackListener {  
    override fun success(livenessItem: LivenessItem?) {  
	      //your callback here
    }  
  
    override fun failed(t: Throwable?) {  
	      //handle error here
    }  
})

LivenessItem is an instance of model that return a bitmap with getImageBitmap() so that you can set the image directly