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https://github.com/kby-ai/Product
๐ We have published the Face Liveness Detection, Face Recognition SDK and ID Card Recognition SDK for the server.
This project is a Face Recognition and Face Liveness Detection project for Flutter.
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 |
Face Liveness Detection - Android(Basic SDK)
Face Liveness Detection - iOS(Basic SDK)
Face Recognition - Android(Standard SDK)
Face Recognition - iOS(Standard SDK)
Face Recognition - Flutter(Standard SDK)
Face Recognition - React-Native(Standard SDK)
![](https://user-images.githubusercontent.com/125717930/230804673-17c99e7d-6a21-4a64-8b9e-a465142da148.png)
https://drive.google.com/file/d/1cn_89fYDYhq8ANXs2epO-KBv7p5ZnWcA/view?usp=sharing
The face recognition project relies on kby-ai's SDK, which requires a license for each application ID.
-
The code below shows how to use the license: https://github.com/kby-ai/FaceRecognition-React-Native/blob/5b8ffdd1fb6956da7e1c1acfd7337f07d621d019/example/src/MainPage.tsx#L17-L24
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To request a license, please contact us:
Email: [email protected]
Telegram: @kbyai
WhatsApp: +19092802609
Skype: live:.cid.66e2522354b1049b
Make sure you have React-Native installed.
If you don't have React-Native installed, please follow the instructions provided in the official React-Native documentation: https://reactnative.dev/docs/environment-setup
Run the following commands:
yarn
yarn example android
Android
-
Copy the SDK (libfacesdk folder) to the 'android' folder of your project.
-
Add SDK to the project in settings.gradle
include ':libfacesdk'
- Activate the 'FaceSDKModule' by calling the 'setActivation' method:
var ret = await FaceSDKModule.setActivation("...");
console.log("set activation:", ret);
- Initialize the 'FaceSDKModule' by calling the 'initSDK' method:
var ret = await FaceSDKModule.initSDK();
- Set parameters using the 'setParam' method:
var ret = await FaceSDKModule.setParam(checkLivenessLevel);
- Extract faces using the 'extractFaces' method:
var faceBoxes = await FaceSDKModule.extractFaces(uri);
- Calculate similarity between faces using the 'similarityCalculation' method:
const similarity = await FaceSDKModule.similarityCalculation(
face.templates,
person.templates
);
- To build the native camera screen and process face detection, please refer to the example/src/FaceRecognitionPage.tsx file in the repository.
<FaceRecognitionSdkView style={styles.box} livenessLevel={1} cameraLens={1} />
- To obtain the face detection results, use the following code:
const eventEmitter = new NativeEventEmitter(FaceSDKModule);
let eventListener = eventEmitter.addListener('onFaceDetected', (event) => {
setFaces(event);
if (recognized == false) {
identifyPerson(event);
}
});
- To start and stop the camera, use the following code:
//Start Camera
const startCamera = async () => {
await FaceSDKModule.startCamera();
}
//Stop Camera
const stopCamera = async () => {
await FaceSDKModule.stopCamera();
}