🤗 Hugging Face - Here

📚 Product & Resources - Here

🛟 Help Center - Here

💼 KYC Verification Demo - Here

🙋‍♀️ Docker Hub - Here

FaceRecognition-iOS

Overview

This repository demonstrates both face liveness detection and face recognition technology developed by KBY-AI.

In this repository, we integrated KBY-AI's both face liveness detection and face recognition technology 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
2	Face Liveness Detection - iOS	Basic SDK
3	Face Recognition - Android	Standard SDK
➡️	Face Recognition - iOS	Standard SDK
5	Face Recognition - Flutter	Standard SDK
6	Face Recognition - Ionic-Cordova	Standard SDK
7	Face Recognition - React-Native	Standard SDK
8	Face Attribute - Android	Premium SDK
9	Face Attribute - iOS	Premium SDK
10	Face Attribute - Flutter	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 repo integrated KBY-AI's face recognition SDK, which requires a license for each bundle ID from iOS project.

• The code below shows how to use the license:

  FaceRecognition-iOS/FaceRecognition/ViewController.swift

  Lines 37 to 44 in 40b54da

  	var ret = FaceSDK.setActivation("bv5lxJJiUWq/TW3LDv4VUIQLMRN0TeOQSaMmAvt1jIRwfTjMIIh9IZxl5R1wncfiituo8sf9N+62" +
  	"L+CcSdMdDNBaXAdwWNRvahc8G4cUTpH6jcchgqdf0evH/syEqvc4ew8ZXDf/kyMYFMwhXPWsuuDA" +
  	"mxZrbrdZPHMJgTBNTKOP0ntD2ao81sSpCaXsEaIe6eYGJRUiJ5txMERM5Q3w6bnZEXjvBu1kXsup" +
  	"OEYrxnynCxK4OodTp1M5VscT8THm+QKLnxRX7X69hD1zfIUKTlMXrLWFmGSmWJeC5Z/MzHqkuqOd" +
  	"bSNBO/7yHLCil6ViA7VY7scdto2yyaF7yZakQg==")
  	if(ret == SDK_SUCCESS.rawValue) {

• To request a license, please ping us on the following contact address:

Please contact us:

🧙Email: [email protected]
🧙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 in 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 face detection and face liveness detection, which can be used as follows:

let faceBoxes = FaceSDK.faceDetection(image)

FaceRecognition-iOS/FaceRecognition/CameraViewController.swift

Lines 101 to 113 in 40b54da

	CVPixelBufferLockBaseAddress(pixelBuffer, CVPixelBufferLockFlags.readOnly)
	let ciImage = CIImage(cvPixelBuffer: pixelBuffer)
	let context = CIContext()
	let cgImage = context.createCGImage(ciImage, from: ciImage.extent)
	let image = UIImage(cgImage: cgImage!)
	CVPixelBufferUnlockBaseAddress(pixelBuffer, CVPixelBufferLockFlags.readOnly)
	// Rotate and flip the image
	let capturedImage = image.rotate(radians: .pi/2).flipHorizontally()
	let faceBoxes = FaceSDK.faceDetection(capturedImage)
	for faceBox in (faceBoxes as NSArray as! [FaceBox]) {

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.

Create Templates

The FaceSDK provides a function that can generate a template from a UIImage. This template can then be used to verify the identity of the individual image captured.

let templates = FaceSDK.templateExtraction(capturedImage, faceBox: faceBox)

FaceRecognition-iOS/FaceRecognition/CameraViewController.swift

Lines 128 to 132 in 40b54da

	let faceBox = faceBoxes[0] as! FaceBox
	if(faceBox.liveness > livenessThreshold) {
	let templates = FaceSDK.templateExtraction(capturedImage, faceBox: faceBox)

The SDK's template extraction function takes two parameters: a UIImage object and an object of FaceBox.

The function returns a Data, which contains the template that can be used for person verification.

Calculation similiarity

The similarityCalculation function takes a byte array of two templates as a parameter.

let similarity = FaceSDK.similarityCalculation(templates, templates2: personTemplates)

It returns the similarity value between the two templates, which can be used to determine the degree of similarity between the two individuals.