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.

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

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

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:

🧙Email: [email protected]
🧙Telegram: @kbyai
🧙WhatsApp: 19092802609
🧙Skype: live:.cid.66e2522354b1049b
🧙Facebook: https://www.facebook.com/KBYAI

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

• 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.

The FaceSDK offers a single function for face detection and face liveness detection, which can be used as follows:

let faceBoxes = FaceSDK.faceDetection(image)

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.

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)

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.

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.