FaceLivenessDetection - Windows
This demo demonstrates 3D passive face liveness detection python SDK by mitigating biometric fraud on Windows server.
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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
Face Liveness Detection SDK - ServerGithub
Test Online

Postman
To test the API, you can use Postman
. Here are the endpoints
for testing:
Test with an image file: Send a
POST
request to http://18.221.33.238:8080/check_livenessTest with a
base64-encoded
image: Send aPOST
request to http://18.221.33.238:8080/check_liveness_base64You can download the
Postman
collection to easily access and use theseendpoints
. click here

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: OpenVINO
™ Runtime (Version: 2022.3), ncnn Runtime(20220721), Vulkan SDK
Runtime(1.3.250)
2. Install SDK from DockerHub
SDK
could be installed easily from DockerHub
repository pushed by KBY-AI
team as discribed in the follwing link.
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 fromKBY-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
Download the model from
Google Drive
and unzip it: click hereRun the
Python
code:
python test.py
Send us the
machine code
and replace thelicense.txt
file you received. Then, run thePython
code again.


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