Hugging Face - Here 
Open Source FaceSDK- Here
Documentation- Here
This projects uses face recognition SDK from Faceplugin, which is Top-ranked on NIST FRVT , coupled with an advanced iBeta level 2 liveness detection engine that effectively safeguards against printed photos, video replay, 3D masks, and deepfake threats, ensuring top-tier security.
This is on-premise face recognition project which means everything is processed in your Windows device and NO data leaves the device
As you can see in the following screenshot, please share Hardware ID with us and we will give you license.txt based on it.
And replace license.txt file in this project.
And run this project again. If the SDK is activated correctly, it should display "Activated" as shown in the screenshot.
As shown in the above screenshot, in the 1:1 Face Matching Section, click the two areas labeled "Click here to upload a face image" to upload the face images.
Then, click the "Compare" button to compare the two face images.
The comparison result will be displayed as shown in the above screenshot.
Click Batch Enroll button to select a folder which contain face images to store Face templates and file names in the local DB(FaceTemplates.db).
You can click Clear DB button to erase all data in the DB.
Click "Click here to upload a face image to find" to upload face a image of the person who you try to find in the DB.
Click Identify button to start searching.
The result will be displayed as shown in the following screenshot.
The images registered in the DB will be shown.
And the filename of the image which you registered in the DB will be displayed
- FaceRecognition-LivenessDetection-Android
- FaceRecognition-LivenessDetection-iOS
- FaceRecognition-LivenessDetection-Javascript
- FaceLivenessDetection-Android
- FaceLivenessDetection-iOS
- FaceLivenessDetection-Linux
- FaceRecognition-LivenessDetection-React
- FaceRecognition-LivenessDetection-Vue
- Face Recognition SDK
- Liveness Detection SDK
- ID Card Recognition
