🤗 Hugging Face - Here
📚 Product & Resources - Here
🛟 Help Center - Here
💼 KYC Verification Demo - Here
🙋♀️ Docker Hub - Here
This repository showcases real-time face liveness detection
technology on iOS
device.
In this repository, we integrated
KBY-AI
's face liveness(face anti-spoofing) solution intoiOS
platform.
🔽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 |
No. | Repository | SDK Details |
---|---|---|
1 | Face Liveness Detection - Android | Basic SDK |
➡️ | Face Liveness Detection - iOS | Basic SDK |
3 | Face Recognition - Android | Standard SDK |
4 | 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.
You can visit our YouTube video here to see how well our demo app works.
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:
FaceLivenessDetection-iOS/FaceLivenessDetection/ViewController.swift
Lines 18 to 27 in ff6722b
-
To request a license, please contact us:
🧙Email:
[email protected]
🧙Telegram:
@kbyai
🧙WhatsApp:
+19092802609
🧙Skype:
live:.cid.66e2522354b1049b
🧙Facebook:
https://www.facebook.com/KBYAI
-
Copy the SDK (
facesdk.framework
folder) to theroot
folder in your project. -
Add
SDK framework
to the project inXcode
.
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
.