👏 We have published the Face Livness Detection, Face Recognition SDK and ID Card Recognition SDK for the server.
The demo project demonstrates both Face Liveness Detection and Face Recognition Technology.
The demo is integrated with KBY-AI's Standard 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:
The face recognition project relies on kby-ai's SDK, which requires a license for each bundle ID.
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The code below shows how to use the license: https://github.com/kby-ai/FaceRecognition-iOS/blob/40b54da44a0c72c6bef275a060fc6b1ff8b3360c/FaceRecognition/ViewController.swift#L37-L44
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To request a license, please contact us:
Email: contact@kby-ai.com
Telegram: @kbyai
WhatsApp: +19092802609
Skype: live:.cid.66e2522354b1049b
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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.
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)
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.