Windows-FaceRecognition-FaceLivenessDetection
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NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof), Face Attribute Analysis Windows Server SDK Demo ☑️ Face Recognition ☑️ Face Liveness Detection ☑️ Face Attribute Analysis
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
No. | Demo | Description |
---|---|---|
1 | Flask Demo | Flask Server Demo for 1:1 verification, liveness detection |
2 | Gradio Demo | Gradio UI Demo for 1:1 verification, liveness detection |
3 | Video Surveillance Demo | Video Surveillance Demo for 1:N identification |
System Requirements
- Windows System: Windows 10 or later
- CPU: 8 cores
- RAM: 8 GB
- HDD: 8 GB
Installation
-
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 toWindows-FaceRecognition-FaceLivenessDetection
folder. -
Install
python-3.8.9.exe
,VC_redist.2013.exe
,VC_redist.2015-2022.exe
files fromdependency
folder.Important Note: When install
python-3.8.9.exe
, have to tick theAdd Python3.8 to PATH
option. -
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 theengine
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.