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# Face-Active-Liveness-Detection-Android
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<p align="center">
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<a href="https://play.google.com/store/apps/dev?id=7086930298279250852" target="_blank">
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<img alt="" src="https://github-production-user-asset-6210df.s3.amazonaws.com/125717930/246971879-8ce757c3-90dc-438d-807f-3f3d29ddc064.png" width=500/>
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</a>
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</p>
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### Our facial recognition algorithm is globally top-ranked by NIST in the FRVT 1:1 leaderboards.<span> <img src="https://github.com/kby-ai/.github/assets/125717930/bcf351c5-8b7a-496e-a8f9-c236eb8ad59e" style="margin: 4px; width: 36px; height: 20px"> <span/> </br> ([Latest NIST frvt evaluation report 2024-12-20](https://pages.nist.gov/frvt/html/frvt11.html)) </br>
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![frvt-sheet](https://github.com/user-attachments/assets/16b4cee2-3a91-453f-94e0-9e81262393d7)
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#### 🆔 ID Document Liveness Detection - Linux - [Here](https://web.kby-ai.com) <span> <img src="https://github.com/kby-ai/.github/assets/125717930/bcf351c5-8b7a-496e-a8f9-c236eb8ad59e" style="margin: 4px; width: 36px; height: 20px"> <span/>
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#### 🤗 Hugging Face - [Here](https://huggingface.co/kby-ai)
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#### 📚 Product & Resources - [Here](https://github.com/kby-ai/Product)
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#### 🛟 Help Center - [Here](https://docs.kby-ai.com)
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#### 💼 KYC Verification Demo - [Here](https://github.com/kby-ai/KYC-Verification-Demo-Android)
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#### 🙋‍♀️ Docker Hub - [Here](https://hub.docker.com/u/kbyai)
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# FaceActiveLivenessDetection-Android
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## Overview
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This repository showcases real-time `Face Liveness Detection` technology on `Android` device.
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> In this repository, we integrated KBY-AI's face liveness(face anti-spoofing) solution into Android platform.
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### ◾FaceSDK(Mobile) Details
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| 🔽Basic | Standard | Premium |
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|------------------|------------------|------------------|
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| <b>Face Detection</b> | Face Detection | Face Detection |
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| <b>Face Liveness Detection</b> | Face Liveness Detection | Face Liveness Detection |
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| <b>Pose Estimation</b> | Pose Estimation | Pose Estimation |
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| | Face Recognition | Face Recognition |
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| | | 68 points Face Landmark Detection |
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| | | Face Quality Calculation |
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| | | Face Occlusion Detection |
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| | | Eye Closure Detection |
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| | | Age, Gender Estimation |
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### ◾FaceSDK(Mobile) Product List
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| No. | Repository | SDK Details |
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|------------------|------------------|------------------|
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| ➡️ | <b>[Face Liveness Detection - Android](https://github.com/kby-ai/FaceLivenessDetection-Android)</b> | <b>Basic SDK</b> |
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| 2 | [Face Liveness Detection - iOS](https://github.com/kby-ai/FaceLivenessDetection-iOS) | Basic SDK |
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| 3 | [Face Recognition - Android](https://github.com/kby-ai/FaceRecognition-Android) | Standard SDK |
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| 4 | [Face Recognition - iOS](https://github.com/kby-ai/FaceRecognition-iOS) | Standard SDK |
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| 5 | [Face Recognition - Flutter](https://github.com/kby-ai/FaceRecognition-Flutter) | Standard SDK |
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| 6 | [Face Recognition - Ionic-Cordova](https://github.com/kby-ai/FaceRececogniion-Ionic-Cordova) | Standard SDK |
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| 7 | [Face Recognition - React-Native](https://github.com/kby-ai/FaceRecognition-React-Native) | Standard SDK |
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| 8 | [Face Attribute - Android](https://github.com/kby-ai/FaceAttribute-Android) | Premium SDK |
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| 9 | [Face Attribute - iOS](https://github.com/kby-ai/FaceAttribute-iOS) | Premium SDK |
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| 10 | [Face Attribute - Flutter](https://github.com/kby-ai/FaceAttribute-Flutter) | Premium SDK |
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> To get Face SDK(server), please visit products [here](https://github.com/kby-ai/Product).<br/>
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## Try the APK
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### Google Play
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<a href="https://play.google.com/store/apps/details?id=com.kbyai.facelivedemo" target="_blank">
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<img alt="" src="https://user-images.githubusercontent.com/125717930/230804673-17c99e7d-6a21-4a64-8b9e-a465142da148.png" height=80/>
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</a>
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## Performance Video
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You can visit our YouTube video [here](https://www.youtube.com/watch?v=F7c5ZqtbIsA) to see how well our demo app works.</br></br>
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[![Face Recognition Android](https://img.youtube.com/vi/F7c5ZqtbIsA/0.jpg)](https://www.youtube.com/watch?v=F7c5ZqtbIsA)
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## SDK License
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This project uses `KBY-AI`'s liveness detection SDK. The SDK requires a license per `application ID`.
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- The code below shows how to use the license: https://github.com/kby-ai/FaceLivenessDetection-Android/blob/f81f001b0a2f65330d2adaabc9b001003af9a112/app/src/main/java/com/kbyai/facelivedemo/CameraActivity.java#L69-L77
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- To request a license, please contact us:</br>
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🧙`Email:` contact@kby-ai.com</br>
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🧙`Telegram:` [@kbyai](https://t.me/kbyai)</br>
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🧙`WhatsApp:` [+19092802609](https://wa.me/+19092802609)</br>
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🧙`Skype:` [live:.cid.66e2522354b1049b](https://join.skype.com/invite/OffY2r1NUFev)</br>
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🧙`Facebook:` https://www.facebook.com/KBYAI</br>
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## About SDK
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### Set up
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1. Copy the SDK (`libfacesdk` folder) to the `root` folder in your project.
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2. Add SDK to the project in `settings.gradle`.
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```kotlin
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include ':libfacesdk'
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```
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3. Add dependency to your `build.gradle`.
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```kotlin
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implementation project(path: ':libfacesdk')
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```
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### Initializing an SDK
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- Step One
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To begin, you need to activate the SDK using the license that you have received.
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```kotlin
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FaceSDK.setActivation("...")
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```
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If activation is successful, the return value will be `SDK_SUCCESS`. Otherwise, an error value will be returned.
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- Step Two
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After activation, call the SDK's initialization function.
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```kotlin
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FaceSDK.init(getAssets());
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```
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If initialization is successful, the return value will be `SDK_SUCCESS`. Otherwise, an error value will be returned.
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### Face Detection and Liveness Detection
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The `FaceSDK` offers a single function for detecting face and liveness detection, which can be used as follows:
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```kotlin
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FaceSDK.faceDetection(bitmap)
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```
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This function takes a single parameter, which is a `bitmap` 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`.
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### Yuv to Bitmap
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The SDK provides a function called `yuv2Bitmap`, which converts a `yuv` frame to a `bitmap`. Since camera frames are typically in `yuv` format, this function is necessary to convert them to `bitmap`. The usage of this function is as follows:
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```kotlin
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Bitmap bitmap = FaceSDK.yuv2Bitmap(nv21, image.getWidth(), image.getHeight(), 7);
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```
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The first parameter is an `nv21` byte array containing the `yuv` data.
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The second parameter is the width of the `yuv` frame, and the third parameter is its height.
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The fourth parameter is the `conversion mode`, which is determined by the camera orientation.
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To determine the appropriate `conversion mode`, the following method can be used:
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```kotlin
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```
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