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FaceRecognition-iOS

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Face recognition, face liveness detection, face matching, face compare, face comparison, face identification, face anti-spoofing, face identity, facial recognition, face representation, face reconstruction, face tracking, and face liveness detection for IDV

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### Our facial recognition algorithm is globally top-ranked by NIST in the FRVT 1:1 leaderboards. <img src="https://github.com/kby-ai/.github/assets/125717930/bcf351c5-8b7a-496e-a8f9-c236eb8ad59e" alt="badge" width="36" height="20"> 
[Latest NIST FRVT evaluation report 2024-12-20](https://pages.nist.gov/frvt/html/frvt11.html)

![FRVT Sheet](https://github.com/user-attachments/assets/16b4cee2-3a91-453f-94e0-9e81262393d7)

#### 🆔 ID Document Liveness Detection - Linux - [Here](https://web.kby-ai.com) <img src="https://github.com/kby-ai/.github/assets/125717930/bcf351c5-8b7a-496e-a8f9-c236eb8ad59e" alt="badge" width="36" height="20">
#### 🤗 Hugging Face - [Here](https://huggingface.co/kby-ai)
#### 📚 Product & Resources - [Here](https://github.com/kby-ai/Product)
#### 🛟 Help Center - [Here](https://docs.kby-ai.com)
#### 💼 KYC Verification Demo - [Here](https://github.com/kby-ai/KYC-Verification-Demo-Android)
#### 🙋‍♀️ Docker Hub - [Here](https://hub.docker.com/u/kbyai)

# FaceRecognition-iOS
## Overview
This repository demonstrates both `face liveness detection` and `face recognition` technology developed by `KBY-AI`.

> In this repository, we integrated `KBY-AI`'s both `face liveness detection` and `face recognition` technology into `iOS` platform.
### ◾FaceSDK(Mobile) Details

| 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 |

### ◾FaceSDK(Mobile) Product List
 | No. | Repository | SDK Details |
 |------------------|------------------|------------------|
 | 1 | [Face Liveness Detection - Android](https://github.com/kby-ai/FaceLivenessDetection-Android) | Basic SDK |
 | 2 | [Face Liveness Detection - iOS](https://github.com/kby-ai/FaceLivenessDetection-iOS) | Basic SDK |
 | 3 | [Face Recognition + Face Liveness Detection - Android](https://github.com/kby-ai/FaceRecognition-Android) | Standard SDK |
 | ➡️ | [Face Recognition + Face Liveness Detection - iOS](https://github.com/kby-ai/FaceRecognition-iOS) | Standard SDK |
 | 5 | [Face Recognition + Face Liveness Detection - Flutter](https://github.com/kby-ai/FaceRecognition-Flutter) | Standard SDK |
 | 6 | [Face Recognition + Face Liveness Detection - Ionic-Cordova](https://github.com/kby-ai/FaceRecognition-Ionic-Cordova) | Standard SDK |
 | 7 | [Face Recognition + Face Liveness Detection - React-Native](https://github.com/kby-ai/FaceRecognition-React-Native) | Standard SDK |
 | 8 | [Face Attribute - Android](https://github.com/kby-ai/FaceAttribute-Android) | Premium SDK |
 | 9 | [Face Attribute - iOS](https://github.com/kby-ai/FaceAttribute-iOS) | Premium SDK |
 | 10 | [Face Attribute - Flutter](https://github.com/kby-ai/FaceAttribute-Flutter) | Premium SDK |

> To get `Face SDK(server)`, please visit products [here](https://github.com/kby-ai/Product).

## Download on the App Store

## Performance Video

You can visit our YouTube video [here](https://www.youtube.com/watch?v=HpDggnWsG1c) to see how well our demo app works.
[![Face Recognition Android](https://img.youtube.com/vi/HpDggnWsG1c/0.jpg)](https://www.youtube.com/watch?v=HpDggnWsG1c)

## Screenshots

## SDK License

This repo integrated `KBY-AI`'s `face recognition SDK`, which requires a license for each `bundle ID` from `iOS` project.

- The code below shows how to use the license: https://github.com/kby-ai/FaceRecognition-iOS/blob/53cec3872bf52f772e7025be65db54fe4880484d/FaceRecognition/ViewController.swift#L36-L45

- To request a license, please ping us on the following contact address:
#### Please contact us:
🧙`Email:` contact@kby-ai.com
🧙`Telegram:` [@kbyaisupport](https://t.me/kbyaisupport)
🧙`WhatsApp:` [+13348402323](https://wa.me/+13348402323)
🧙`Discord:` [KBY-AI](https://discord.gg/6wm383re2s)
🧙`Teams:` [KBY-AI](https://teams.live.com/l/invite/FBAYGB1-IlXkuQM3AY)

## About SDK

### Set up
1. Copy the SDK (`facesdk.framework` folder) to the `root` folder in your project.

2. Add `SDK framework` to the project in `Xcode`.

> Project Navigator -> General -> Frameworks, Libraries, and Embedded Content

![image](https://user-images.githubusercontent.com/125717930/231925359-ef30b3c0-d2d9-4b32-ae57-80b42b021b91.png)

3. Add the bridging header to your project settings

> Project Navigator -> Build Settings -> Swift Compiler - General

![image](https://user-images.githubusercontent.com/125717930/232944333-9bd57f0c-1a11-4e2e-9a8f-e387323f0919.png)

### Initializing an SDK

- Step One

To begin, you need to activate the SDK using the license that you have received.
```swift
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.
```swift
FaceSDK.initSDK()
```
If initialization is successful, the return value will be `SDK_SUCCESS`. Otherwise, an error value will be returned.

### Face Detection and Liveness Detection

The `FaceSDK` offers a single function for `face detection` and `face liveness detection`, which can be used as follows:
```swift
let faceBoxes = FaceSDK.faceDetection(image)
```

https://github.com/kby-ai/FaceRecognition-iOS/blob/53cec3872bf52f772e7025be65db54fe4880484d/FaceRecognition/CameraViewController.swift#L111-L117

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`.

### Create Templates

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 image captured.

```swift
let templates = FaceSDK.templateExtraction(capturedImage, faceBox: faceBox)
```

https://github.com/kby-ai/FaceRecognition-iOS/blob/53cec3872bf52f772e7025be65db54fe4880484d/FaceRecognition/CameraViewController.swift#L125-L129

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 `template`s as a parameter.

```swift
let similarity = FaceSDK.similarityCalculation(templates, templates2: personTemplates)
```

It returns the similarity value between the two `template`s, which can be used to determine the degree of similarity between the two individuals.

FaceRecognition-iOS

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