👏 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 demonstrates both Face Liveness Detection and Face Recognition Technology.

The demo is integrated with KBY-AI's Standard 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)

The face recognition project relies on kby-ai's SDK, which requires a license for each bundle ID.

• The code below shows how to use the license: https://github.com/kby-ai/FaceRecognition-iOS/blob/40b54da44a0c72c6bef275a060fc6b1ff8b3360c/FaceRecognition/ViewController.swift#L37-L44

• 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/FaceRecognition-iOS/blob/40b54da44a0c72c6bef275a060fc6b1ff8b3360c/FaceRecognition/CameraViewController.swift#L101-L113

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 captured in the image.

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

https://github.com/kby-ai/FaceRecognition-iOS/blob/40b54da44a0c72c6bef275a060fc6b1ff8b3360c/FaceRecognition/CameraViewController.swift#L128-L132

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.