👏 Product List

https://github.com/kby-ai/Product

👏 We have published the Face Liveness Detection, Face Recognition SDK and ID Card Recognition SDK for the server.

• FaceLivenessDetection-Docker

• FaceRecognition-Docker

• IDCardRecognition-Docker

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.

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)

Face Attribute - Android(Premium SDK)

Face Attribute - iOS(Premium SDK)

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

• 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();
    }