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🛟 Help Center - Here
💼 KYC Verification Demo - Here
🙋♀️ Docker Hub - Here
The demo project showcases real-time Face Liveness Detection technology.
The demo is integrated with KBY-AI's Basic Face Mobile SDK.
| 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 |
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.
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The code below shows how to use the license: https://github.com/kby-ai/FaceLivenessDetection-iOS/blob/ff6722b7946797f0c9f2314f88eb43a96ac59f57/FaceLivenessDetection/ViewController.swift#L18-L27
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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
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Copy the SDK (facesdk.framework folder) to the root folder of your project.
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Add SDK framework to the project in xcode
Project Navigator -> General -> Frameworks, Libraries, and Embedded Content
- 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)
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.