👏 Product List

https://github.com/kby-ai/Product

👏 We have published the Face Liveness Detection, Face Recognition SDK and ID Card Recognition SDK for the server.

• FaceLivenessDetection-Docker

• FaceRecognition-Docker

• IDCardRecognition-Docker

The demo project showcases real-time Face Liveness Detection technology.

The demo is integrated with KBY-AI's Basic Face Mobile SDK.

For other solutions, please explore the following:

Face Liveness Detection - Android(Basic SDK)

Face Liveness Detection - iOS(Basic SDK)

Face Recognition - Android(Standard SDK)

Face Recognition - iOS(Standard SDK)

Face Recognition - Flutter(Standard SDK)

Face Recognition - React-Native(Standard SDK)

Face Attribute - Android(Premium SDK)

Face Attribute - iOS(Premium SDK)

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: https://github.com/kby-ai/FaceLivenessDetection-iOS/blob/ff6722b7946797f0c9f2314f88eb43a96ac59f57/FaceLivenessDetection/ViewController.swift#L18-L27

• To request a license, please contact us:

Email: [email protected]

Telegram: @kbyai

WhatsApp: +19092802609

Skype: live:.cid.66e2522354b1049b

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

• 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 detecting face and liveness detection, which can be used as follows:

let faceBoxes = FaceSDK.faceDetection(image)

https://github.com/kby-ai/FaceLivenessDetection-iOS/blob/ff6722b7946797f0c9f2314f88eb43a96ac59f57/FaceLivenessDetection/CameraViewController.swift#L62-L78

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.