MiniAI-Face-Recognition-LivenessDetection-ServerSDK
NIST FRVT Top Ranked Face Recognition, iBeta 2 Certified Liveness Detection (3D Face Passive Anti-Spoofing) Engine!
Stars: 83
The MiniAiLive Face Recognition LivenessDetection Server SDK provides system integrators with fast, flexible, and extremely precise facial recognition that can be deployed across various scenarios, including security, access control, public safety, fintech, smart retail, and home protection. The SDK is fully on-premise, meaning all processing happens on the hosting server, and no data leaves the server. The project structure includes bin, cpp, flask, model, python, test_image, and Dockerfile directories. To set up the project on Linux, download the repo, install system dependencies, and copy libraries into the system folder. For Windows, contact MiniAiLive via email. The C++ example involves replacing the license key in main.cpp, building the project, and running it. The Python example requires installing dependencies and running the project. The Python Flask example involves replacing the license key in app.py, installing dependencies, and running the project. The Docker Flask example includes building the docker image and running it. To request a license, contact MiniAiLive. Contributions to the project are welcome by following specific steps. An online demo is available at https://demo.miniai.live. Related products include MiniAI-Face-Recognition-LivenessDetection-AndroidSDK, MiniAI-Face-Recognition-LivenessDetection-iOS-SDK, MiniAI-Face-LivenessDetection-AndroidSDK, MiniAI-Face-LivenessDetection-iOS-SDK, MiniAI-Face-Matching-AndroidSDK, and MiniAI-Face-Matching-iOS-SDK. MiniAiLive is a leading AI solutions company specializing in computer vision and machine learning technologies.
README:
Welcome to the MiniAiLive!
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
No | Project | Feature |
---|---|---|
1 | MiniAI-Face-Recognition-LivenessDetection-AndroidSDK | Face Matching, 3D Face Passive Liveness |
2 | MiniAI-Face-Recognition-LivenessDetection-iOS-SDK | Face Matching, 3D Face Passive Liveness |
3 | MiniAI-Face-Recognition-LivenessDetection-ServerSDK | Face Matching, 3D Face Passive Liveness |
4 | MiniAI-Face-Recognition-LivenessDetection-WindowsSDK | Face Matching, 3D Face Passive Liveness |
5 | MiniAI-Face-LivenessDetection-AndroidSDK | 3D Face Passive Liveness |
6 | MiniAI-Face-LivenessDetection-iOS-SDK | 3D Face Passive Liveness |
7 | MiniAI-Face-LivenessDetection-ServerSDK | 3D Face Passive Liveness |
8 | MiniAI-Face-Matching-AndroidSDK | 1:1 Face Matching |
9 | MiniAI-Face-Matching-iOS-SDK | 1:1 Face Matching |
10 | MiniAI-Face-Attributes-AndroidSDK | Face Attributes |
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
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