MiniAiLive Face Recognition Server SDK

We provide system integrators with fast, flexible and extremely precise facial recognition that can be deployed across a number of scenarios, including security, access control, public safety, fintech, smart retail and home protection. Feel free to use our MiniAI Face Recognition with 3D passive face liveness detection (face anti-spoofing) Server SDK.

Note

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

./MiniAI-Face-Recognition-ServerSDK
  ├─ bin/linux_x86_64                 - # Core library files
  │  ├─ openvino
  │  ├─ libminiai_rec.so
  │  └─ libimutils.so
  ├─ cpp                              - # C++ example
  │  ├─ CMakeLists.txt                - # CMake file for build example
  │  ├─ miniai_rec.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  
  │  └─ data3.bin
  ├─ python                           - # Python example
  │  ├─ miniai_rec.py               - # Python library Import Interface file
  │  ├─ main.py                       - # Python example code
  │  └─ requirements.txt              - # Python requirement list
  ├─ test_image                       - # Test Images
  └─ Dockerfile                       - # Docker script for python flask API serving example

• Download repo and extract it

git clone https://github.com/MiniAiLive/MiniAI-Face-Recognition-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 -rf ./bin/linux_x86_64/openvino/* /usr/lib
cp ./bin/linux_x86_64/libimutils.so /usr/lib

Contact US by Email [email protected]

• Replace license key in main.cpp
• Build project

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

• Run project

./example_recognition --image1 ../../test_image/Carlos_Menem_0018.jpg --image2 ../../test_image/Carlos_Menem_0020.jpg --model ../../model

• Replace license key in main.py
• Install dependencies

cd python
pip install -r requirements.txt

• Run project

python main.py

• Replace license key in app.py
• Install dependencies

cd flask
pip install -r requirements.txt

• Run project

python app.py

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

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

• Run image

docker run --network host miniairecognition

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

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.

Please visit our Face API Web Demo here. https://demo.miniai.live

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.

For any inquiries or questions, please Contact US