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FaceAttribute-iOS

Overview

This repository integrates several facial recognition technologies, including 3D passive face liveness detection, face recognition, automatic face capture, and analysis of various face attributes such as age, gender, face quality, facial occlusion, eye closure, and mouth opening.

The system utilizes Face Liveness Detection technology to generate a real-time liveness score based on a single image captured by the camera.

Additionally, this demo offers Face Recognition capabilities, enabling enrollment from a gallery and real-time identification of faces captured by the camera.

This repository features an automatic Face Capture function that verifies various facial attributes, such as face quality, facial orientation (yaw, roll, pitch), facial occlusion (e.g., mask, sunglass, hand over face), eye closure, mouth opening, and the position of the face within the region of interest (ROI).

Moreover, the repository can compute scores for different face attributes from a gallery image, including liveness, face orientation (yaw, roll, pitch), face quality, luminance of the face, facial occlusion, eye closure, mouth opening, age, and gender.

In this repository, we integrated KBY-AI's Premium Face Mobile SDK into iOS platform.

◾FaceSDK(Mobile) Details

◾FaceSDK(Mobile) Product List

To get Face SDK(server), please visit products here.

Download on the App Store

Screenshots

SDK License

The face attribute 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/FaceAttribute-iOS/blob/3e377692dcd101067ba57033db8a43a84ceced28/FaceAttribute/ViewController.swift#L42-L51

• To request a license, please contact us: 🧙Email: [email protected] 🧙Telegram: @kbyai 🧙WhatsApp: +19092802609 🧙Skype: live:.cid.66e2522354b1049b 🧙Facebook: https://www.facebook.com/KBYAI

About SDK

1. Set up

• Copy the SDK (facesdk.framework folder) to the root folder of your project.

• 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

2. Initializing an SDK

• 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.

3. SDK Classes

• FaceBox

  This class represents the output of the face detection function and can be utilized in template creation functions.

  Feature	Type	Name
  Face rectangle	int	x1, y1, x2, y2
  Face angles (-45 ~ 45)	float	yaw, roll, pitch
  Liveness score (0 ~ 1)	float	liveness
  Face quality (0 ~ 1)	float	face_quality
  Face luminance (0 ~ 255)	float	face_luminance
  Face occlusion (0 ~ 1)	float	face_occlusion
  Eye closure (0 ~ 1)	float	left_eye, right_eye
  Mouth opening (0 ~ 1)	float	face_mouth_opened
  Age, gender	int	age, gender
  68 points facial landmark	Data	landmark

  68 points facial landmark

  

• FaceDetectionParam

  This class serves as the input parameter for face detection, enabling various processing functionalities such as face liveness detection, eye closure checking, facial occlusion checking, mouth opening checking, and age and gender estimation.

  Feature	Type	Name
  Check liveness	bool	check_liveness
  Check eye closure	bool	check_eye_closeness
  Check face occlusion	bool	check_face_occlusion
  Check mouth opening	bool	check_mouth_opened
  Estimate age, gender	bool	estimate_age_gender

4. SDK APIs

- Face Detection

The Face SDK provides a unified function for detecting faces, enabling multiple functionalities such as liveness detection, face orientation (yaw, roll, pitch), face quality, facial occlusion, eye closure, mouth opening, age, gender, and facial landmarks.

The function can be used as follows:

let faceBoxes = FaceSDK.faceDetection(image, param: param)

This function requires two parameters: a UIImage object and a FaceDetectionParam object that enables various processing functionalities.

The function returns a list of FaceBox objects.

- Create Templates

The FaceSDK provides a function that can generate a template from a UIImage image. This template can then be used to verify the identity of the individual captured in the image.

let templates = FaceSDK.templateExtraction(image, 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.

- Calculation similiarity

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 level of likeness between the two individuals.