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Latest NIST FRVT Report

• 1:1 & 1:NWindows .NET Demo for Face Recognition, Liveness Detection.
• Global CoverageID Card/Passport OCR Mobile Demo andID Document Recognition Server Demo.
• Try1:N Face Search through ourFace Identification Web Demo.
• Subscribe ourFree APIs for your app or website from ourAPI Hub.

Welcome to our Face SDK Demos repository! Here you will find demos showcasing the capabilities of our on-premise Face SDKs, including face recognition, liveness detection, and face attribute analysis. Our SDK is designed to work seamlessly onWindows Server platforms and can be integrated into various systems such aseKYC solutions andCCTV systems.

OurProduct List for ID verification.

• Face Recognition: Identify and verify individuals by comparing their facial features.
• Liveness Detection: Determine whether a face is live or spoofed to prevent fraud in authentication processes.
• Face Attribute Analysis: Extract facial attributes such as age, gender and more from facial images for demographic analysis.

• Windows System: Windows 10 or later
• CPU: 8 cores
• RAM: 8 GB
• HDD: 8 GB

1. Clone this repository to your local machine:

   git clone https://github.com/recognito-vision/Windows-FaceRecognition-FaceLivenessDetection.git

   Downloadengine folder fromHere and extract toWindows-FaceRecognition-FaceLivenessDetection folder.

2. Installpython-3.8.9.exe,VC_redist.2013.exe,VC_redist.2015-2022.exe files fromdependency folder.

   Important Note: When installpython-3.8.9.exe, have to tick theAdd Python3.8 to PATH option.

   

3. Install the Python package from the desired demo folder. (flask,gradio,video_surveillance_demo)

   cd Windows-FaceRecognition-FaceLivenessDetection\gradiopython -m pip install -r requirements.txt

• Runapp.py from the demo folder.

  python app.py

• Get your HWID and share it with us for trial license.

  

                

• Copy thelicense.txt license file received from us to theengine folder.

  

• Runapp.py from the desired demo folder. (flask,gradio,video_surveillance_demo)

  python app.py

  

• Video Surveillance Demo

  Test Photo Match (photo vs photo face identification), Video Surveillance (photo vs video face identification).

  Media files, RTSP, web camera can be used as input video.

  

  

  

• Flask Demo

  To test the API, you can usePostman. Here are the endpoints for testing

  • http://{xx.xx.xx.xx}:8000/api/compare_face
  • http://{xx.xx.xx.xx}:8000/api/analyze_face

  
  

• Gradio:

  Go tohttp://127.0.0.1:7860/ on a web browser.

  

For any questions, issues, or feature requests, please contact our support team.