👏 We have published the Face Livness Detection and Face Recognition SDK for the server.
The demo project demonstrates both Face Liveness Detection and Face Recognition Technology.
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 |
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.
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The code below shows how to use the license: https://github.com/kby-ai/FaceRecognition-Android/blob/4b071e04766d6b6a46882c0fc87cd7e2bcdc395d/app/src/main/java/com/kbyai/facerecognition/MainActivity.kt#L33-L43
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To request a license, please contact us:
Email: [email protected]
Telegram: @kbyai
WhatsApp: +19092802609
Skype: live:.cid.66e2522354b1049b
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Copy the SDK (libfacesdk folder) to the root folder of your project.
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Add SDK to the project in settings.gradle
include ':libfacesdk'
- Add dependency to your build.gradle
implementation project(path: ':libfacesdk')
- 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.init(getAssets());
If initialization is successful, the return value will be SDK_SUCCESS. Otherwise, an error value will be returned.
The FaceSDK offers a single function for detecting face and liveness detection, which can be used as follows:
FaceSDK.faceDetection(bitmap)
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.
The FaceSDK provides a function that can generate a template from a bitmap image. This template can then be used to verify the identity of the individual captured in the image.
byte[] templates = FaceSDK.templateExtraction(bitmap, faceBox);
The SDK's template extraction function takes two parameters: a bitmap object and an object of FaceBox.
The function returns a byte array, which contains the template that can be used for person verification.
The "similarityCalculation" function takes a byte array of two templates as a parameter.
float similarity = FaceSDK.similarityCalucation(templates1, templates1);
It returns the similarity value between the two templates, which can be used to determine the level of likeness between the two individuals.
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 bitmaps. The usage of this function is as follows:
Bitmap bitmap = FaceSDK.yuv2Bitmap(nv21, image.getWidth(), image.getHeight(), 7);
The first parameter is an nv21 byte array containing the yuv data.
The second parameter is the width of the yuv frame, and the third parameter is its height.
The fourth parameter is the conversion mode, which is determined by the camera orientation.
To determine the appropriate conversion mode, the following method can be used:
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