MiniAiLive Face LivenessDetection Server SDK

Welcome to the MiniAiLive!

A 100% spoofing-prevention rate for both 3D printed and resin facial masks, confirms MiniAiLive® as a leading facial recognition solution for preventing biometric fraud in remote applications, such as online banking, requiring identity verification before granting access to sensitive data or valuable assets. Feel free to use our MiniAI Face Recognition Server SDK.

Note

SDK is fully on-premise, processing all happens on hosting server and no data leaves server.

Project Structure

# Code & components for pages
./MiniAI-Face-LivenessDetection-ServerSDK
  ├─ bin/linux_x86_64                 - # Core library files
  │  ├─ libminiai_liveness.so
  │  ├─ libminiai_models.so
  │  └─ libimutils.so
  ├─ cpp                              - # C++ example
  │  ├─ CMakeLists.txt                - # CMake file for build example
  │  ├─ miniai_liveness.h             - # C++ header file to include library
  │  └─ main.cpp                      - # C++ example code
  ├─ flask                            - # Python flask API serving example
  │  ├─ app.py                        - # Flask example code
  │  └─ requirements.txt               - # Python requirement list
  ├─ model                            - # NN dictionary files for library
  │  ├─ data1.bin
  │  └─ data2.bin
  ├─ python                           - # Python example
  │  ├─ miniai_liveness.py            - # Python library Import Interface file
  │  ├─ main.py                       - # Python example code
  │  └─ requirements.txt              - # Python requirement list
  ├─ test_image                       - # Test Images
  │  ├─ genuine.jpg
  │  └─ spoof.png
  └─ Dockerfile                       - # Docker script for python flask API serving example

Setup Project

- Linux

• Download repo and extract it

git clone https://github.com/MiniAiLive/MiniAI-Face-LivenessDetection-ServerSDK.git

• Install system dependencies

sudo apt-get update -y
sudo apt-get install -y libcurl4-openssl-dev libssl-dev libopencv-dev

• Copy libraries into system folder

cp ./bin/linux_x86_64/libminiai_models.so /usr/lib
cp ./bin/linux_x86_64/libimutils.so /usr/lib

- Windows

Contact US by Email info@miniai.live

C++ Example

• Replace license key in main.cpp
• Build project

cd cpp
mkdir build && cd build
cmake ..
make

• Run project

./example_liveness --image ../../test_image/spoof.png --model ../../model

Python Example

• Replace license key in main.py
• Install dependencies

cd python
pip install -r requirements.txt

• Run project

python main.py

Python Flask Example

• Replace license key in app.py
• Install dependencies

cd flask
pip install -r requirements.txt

• Run project

python app.py

  

Docker Flask Example

• Replace license key in app.py
• Build docker image

docker build --pull --rm -f "Dockerfile" -t miniailiveness:latest "."

• Run image

docker run --network host miniailiveness

Request license

Feel free to Contact US to get trial License
You will get email with trial license key ("XXXXX-XXXXX-XXXXX-XXXXX").

Contributing

Contributions are welcome! If you'd like to contribute to this project, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them with descriptive messages.
4. Push your changes to your forked repository.
5. Submit a pull request to the original repository.

About MiniAiLive

MiniAiLive is a leading AI solutions company specializing in computer vision and machine learning technologies. We provide cutting-edge solutions for various industries, leveraging the power of AI to drive innovation and efficiency.

Contact US

For any inquiries or questions, please Contact US