Help Center
  • Welcome to KBY-AI
  • Product
    • Face Liveness Detection SDK, Face Recognition SDK
      • Basic SDK - Mobile
        • Basic SDK - Android
        • Basic SDK - iOS
      • Standard SDK - Mobile
        • Standard SDK - Android
        • Standard SDK - iOS
      • Premium SDK - Mobile
        • Premium SDK - Android
        • Premium SDK - iOS
      • Face Liveness Detection SDK - Server
      • Face Recognition SDK - Server
    • ID Card Recognition SDK
      • ID Card Recognition SDK - Android
      • ID Card Recognition SDK - iOS
      • ID Card Recognition SDK - Server
      • Supported Documents
      • Result Parsing
    • ID Document Liveness Detection SDK
    • ID Document Auto Capture Web
    • Palm Recognition SDK
      • Palmprint Recognition SDK - Server
      • Palmvein Recognition SDK - Server
    • Automatic License Plate/Number Recognition SDK
      • License Plate Recognition-Server
      • License Plate Recognition-Flutter
      • License Plate Recognition-Android
    • Computer Vision Solutions
      • Fire/Smoke Detection-Server
  • Demo Projects
    • Mobile (Android, iOS)
      • FaceLivenessDetection - Android
      • FaceLivenessDetection - iOS
      • FaceRecognition - Android
      • FaceRecognition - iOS
      • FaceRecognition - Flutter
      • FaceRecognition - Ionic-Cordova
      • FaceRecognition - React-Native
      • FaceAttribute - Android
      • FaceAttribute - iOS
      • FaceAttribute - Flutter
      • IDCardRecognition - Android
      • IDCardRecognition - iOS
      • License Plate Recognition-Flutter
      • License Plate Recognition-Android
    • Server (Windows, Linux)
      • FaceLivenessDetection - Windows
      • FaceLivenessDetection - Docker
      • FaceLivenessDetection - C# - .NET
      • FaceRecognition - Windows
      • FaceRecognition - Docker
      • FaceRecognition - C# - .NET
      • IDCardRecognition - Windows
      • IDCardRecognition - Docker
      • IDCardRecognition - C# - .NET
      • Palm Print Recognition SDK - Docker
      • Palm Vein Recognition SDK - Docker
      • License Plate Recognition-Docker
      • License Plate Recognition - C# - .NET
  • FAQ
    • How can I set up a Kubernetes system?
    • Has KBY-AI's facial algorithm been certified by a reliable standard measurement authority?
    • Accelerating KBY-AI SDKs with Kubernetes Configuration
Powered by GitBook
On this page
  • SDK
  • Github
  • Test Online
  • Postman
  • How to Run
  • 1. System Requirements
  • 2. Install SDK from DockerHub
  • 3. Install SDK from GitHub
  1. Demo Projects
  2. Server (Windows, Linux)

FaceLivenessDetection - Windows

This demo demonstrates 3D passive face liveness detection python SDK by mitigating biometric fraud on Windows server.

PreviousServer (Windows, Linux)NextFaceLivenessDetection - Docker

Last updated 2 months ago

view

This is the Face Liveness Detection Python project for Windows Server.

It stands for 3D passive face liveness detection python, face anti-spoofing python, face fraudulent check python, face liveness check python, fraud prevention python, spoof prevention python, face fraud detection python and biometric fraud with liveness detection on Windows server.

SDK

Github

Test Online

Postman

To test the API, you can use Postman. Here are the endpoints for testing:

How to Run

We have not published facesdk1.dll. If you need the SDK DLL, please get in touch with us.

1. System Requirements

CPU: 2 cores or more (Recommended: 8 cores)

RAM: 4 GB or more (Recommended: 8 GB)

HDD: 4 GB or more (Recommended: 8 GB)

OS: Windows 7 or later

Dependency: OpenVINOâ„¢ Runtime (Version: 2022.3), ncnn Runtime(20220721), Vulkan SDK Runtime(1.3.250)

2. Install SDK from DockerHub

  • Pull docker image from the repository.

sudo docker pull kbyai/face-liveness-detection:latest
  • Get machine code with the following command.

sudo docker run -e LICENSE="xxxxx" kbyai/face-liveness-detection:latest 

To request the license, please provide us with the machine code obtained from your console.

  • Run docker container with license key file from KBY-AI team.

sudo docker run -v ./license.txt:/root/kby-ai-live/license.txt -p 8080:8080 -p 9000:9000 kbyai/face-liveness-detection:latest

3. Install SDK from GitHub

  • Clone the project:

git clone https://github.com/kby-ai/FaceLivenessDetection-Windows.git
  • Run the Python code:

python test.py
  • Send us the machine code and replace the license.txt file you received. Then, run the Python code again.

Test with an image file: Send a POST request to

Test with a base64-encoded image: Send a POST request to

You can download the Postman collection to easily access and use these endpoints.

SDK could be installed easily from DockerHub repository pushed by KBY-AI team as discribed in the follwing .

Download the model from Google Drive and unzip it:

http://18.221.33.238:8080/check_liveness
http://18.221.33.238:8080/check_liveness_base64
click here
link
click here
Face Liveness Detection SDK - Server
Gradio
Logo
How to get machine code
GitHub - kby-ai/FaceLivenessDetection-Windows: This is the Face Liveness Detection Python project for Windows.GitHub
Logo