Welcome to the repository for our cutting-edge Face Recognition API, which incorporates advanced Anti-Spoofing Detection to ensure secure and reliable identity verification. This project leverages the power of deep learning models and the SilentSpoofing approach to offer a robust solution against fraudulent attempts at spoofing face recognition systems.
Our Face Recognition API is designed with security and efficiency in mind, utilizing a deep face recognition model to accurately identify individuals, coupled with the SilentSpoofing method to detect and prevent spoofing attacks. This API is ideal for applications requiring high levels of security, such as access control systems, financial services authentication, and secure login mechanisms for various digital platforms.
- High Accuracy Face Recognition: Leverages state-of-the-art deep learning models to ensure precise and reliable face recognition.
- Advanced Anti-Spoofing: Incorporates SilentSpoofing, an innovative technique that detects spoofing attacks using a combination of motion analysis and texture recognition, ensuring the authenticity of the detected face.
- Easy Integration: Designed to be seamlessly integrated into existing systems with comprehensive documentation and support.
- Real-Time Processing: Capable of processing and verifying identities in real-time, providing immediate feedback and actions based on authentication results.
- Programming Language: Python
- Deep Learning Libraries: TensorFlow, Keras, DeepFace
- Face Recognition Model: Utilizes a pre-trained deep face model fine-tuned for our specific use cases.
- Spoofing Detection: Implements SilentSpoofing algorithm, integrating motion analysis and texture recognition to distinguish between real and spoofed faces https://github.com/minivision-ai/Silent-Face-Anti-Spoofing .
To get started with our Face Recognition API, please follow the steps below:
- Clone the Repository:
git clone https://github.com/yourusername/face-recognition-anti-spoofing.git - Install Dependencies:
pip install -r requirements.txt - Run the API:
python app.py
For detailed instructions on setup, configuration, and deployment, please refer to our Installation Guide and User Manual.
After setting up the API, you can make requests to perform face recognition and spoofing detection. Refer to the API Documentation for detailed information on the endpoints, request formats, and response structures.
We welcome contributions to improve the Face Recognition API and extend its capabilities. If you're interested in contributing, please read our Contributing Guidelines for more information on how to get started.
This project is licensed under the MIT License. See the LICENSE file for more details.
For any queries or suggestions, feel free to contact us at [your-email@example.com].
Thank you for exploring our Face Recognition API with Anti-Spoofing Detection. We hope this project serves your needs and contributes to enhancing security measures in your applications.