Latest NIST FRVT Report

On-Premise Face Recognition, Liveness Detection, Face Attribute Analysis SDK Demo (Windows Server)

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 on Windows Server platforms and can be integrated into various systems such as eKYC solutions and CCTV systems.

Our Product List for ID verification.

RECOGNITO Product Documentation

Features

• 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 Face SDK Demo Description

System Requirements

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

Installation

1. Clone this repository to your local machine:

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

   Download engine folder from Here and extract to Windows-FaceRecognition-FaceLivenessDetection folder.

2. Install python-3.8.9.exe, VC_redist.2013.exe, VC_redist.2015-2022.exe files from dependency folder.

   Important Note: When install python-3.8.9.exe, have to tick the Add Python3.8 to PATH option.

   

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

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

Setting Up SDK License Key (Trial License Available)

• Run app.py from the demo folder.

  python app.py
  

• Get your HWID and share it with us

  

                

• Copy the license.txt license file to the engine folder.

  

Running Demo

• Run app.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 use Postman. 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 to http://127.0.0.1:7860/ on a web browser.

  

Support

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