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FaceLivenessDetection-iOS

Overview

This repository showcases real-time face liveness detection technology on iOS device.

In this repository, we integrated KBY-AI's face liveness(face anti-spoofing) solution into iOS 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
1	Face Liveness Detection - Android	Basic SDK
➡️	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 - React-Native	Standard SDK
7	Face Attribute - Android	Premium SDK
8	Face Attribute - iOS	Premium SDK

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

Download on the App Store

Performance Video

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

Screenshots

SDK License

This project uses kby-ai's liveness detection SDK. The SDK requires a license per bundle ID.

• The code below shows how to use the license:

  FaceLivenessDetection-iOS/FaceLivenessDetection/ViewController.swift

  Lines 18 to 27 in ff6722b

  	var ret = FaceSDK.setActivation("glF/068/SCjGIKN/o1HwZKKEANRWrO0eCTY7VinO46mMiXWcccNfCGLzAe2aNU2JBbjcn+IY000Q" +
  	"zwYQUjEqx8X4Dkx41KMcZhJQSSdPg9KBEpxbOaksjsPCktAy78wlUJ9L+zmX6oa0h/3H45gMCHka" +
  	"qPjjEWqrtGotonspHOxo5Z8TqofHSWJ04ORGllILdB4UQELaeToomCJMSNMJRKt425sIEdidO/+2" +
  	"cQTdw04ShTpyMRgFI4B/sY5XMlz8Jyh1L9X3Yf5vEzj/Dk6d/7mtp1r3vRzIaBiFvk8M0Y0CyIwK" +
  	"pdXxtkmC/OAO7DqzT3XQL69oX51XBMIwQXFriA==")
  	if(ret == SDK_SUCCESS.rawValue) {
  	ret = FaceSDK.initSDK()
  	}

• To request a license, please contact us:
  🧙Email: contact@kby-ai.com
  🧙Telegram: @kbyai
  🧙WhatsApp: +19092802609
  🧙Skype: live:.cid.66e2522354b1049b
  🧙Facebook: https://www.facebook.com/KBYAI
  

About SDK

Set up

1. Copy the SDK (facesdk.framework folder) to the root folder of your project.

2. Add SDK framework to the project in xcode

Project Navigator -> General -> Frameworks, Libraries, and Embedded Content

3. Add the bridging header to your project settings

Project Navigator -> Build Settings -> Swift Compiler - General

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.initSDK()

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:

let faceBoxes = FaceSDK.faceDetection(image)

FaceLivenessDetection-iOS/FaceLivenessDetection/CameraViewController.swift

Lines 62 to 78 in ff6722b

	func captureOutput(_ output: AVCaptureOutput, didOutput sampleBuffer: CMSampleBuffer, from connection: AVCaptureConnection) {
	guard let pixelBuffer: CVPixelBuffer = CMSampleBufferGetImageBuffer(sampleBuffer) else { return }
	CVPixelBufferLockBaseAddress(pixelBuffer, CVPixelBufferLockFlags.readOnly)
	let image = CIImage(cvPixelBuffer: pixelBuffer).oriented(CGImagePropertyOrientation.leftMirrored)
	let capturedImage = UIImage(ciImage: image)
	CVPixelBufferUnlockBaseAddress(pixelBuffer, CVPixelBufferLockFlags.readOnly)
	let faceBoxes = FaceSDK.faceDetection(capturedImage)
	DispatchQueue.main.sync {
	self.faceView.setFrameSize(frameSize: capturedImage.size)
	self.faceView.setFaceBoxes(faceBoxes: faceBoxes)
	}
	}

This function takes a single parameter, which is a UIImage 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.