Basic SDK - iOS
Face Liveness Detection SDK
Features
License
We offer lifetime license(perpetual license)
based on bundle ID
for iOS SDK
s. The license is available for one-time payment
. In other words, once you purchase license from me, you can use our SDK permanently.
To request a license, please contact us:
Email: contact@kby-ai.com
Telegram: @kbyai
WhatsApp: +19092802609
Skype: live:.cid.66e2522354b1049b
System Requirements
CPU: 2 cores or more
RAM: 100MB or more
OS: iOS 13.0 or later
Architecture: arm64-v8a
Setup
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
Initializing SDK
Step one
To begin, you need to activate the SDK using the license that you have received.
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.
If initialization is successful, the return value will be
SDK_SUCCESS
. Otherwise, an error value will be returned.
Enums and Classes
1. SDK_ERROR
This enumeration represents the return value of the initSDK
and setActivation
functions.
2. FaceBox
This class represents the output of the face detection function
that contains the detected face rectangle
, liveness score
, and facial angles
such as yaw
, roll
, and pitch
.
APIs
1. setActivation
To begin, you need to activate the SDK using the license that you have received.
If activation is successful, the return value will be SDK_SUCCESS
. Otherwise, an error value will be returned.
2. initSDK
After activation, call the SDK's initialization function.
If initialization is successful, the return value will be SDK_SUCCESS
. Otherwise, an error value will be returned.
3. faceDetection
The SDK offers a single function for detecting face and liveness detection, which can be used as follows:
This function takes a single parameter, which is a UIImage
object.
The return value of the function is a list of FaceBox objects.
Default Thresholds
If the liveness score exceeds 0.7
, the face is a real face
.
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