The Face Recognition Library is an advanced, easy-to-use toolkit for face detection, verification, and identification. It supports concurrent processing of multiple faces or multiple cameras, making it ideal for developers without extensive knowledge of image processing or artificial intelligence or internal database setup. Users can easily integrate the library using C++ APIs, leveraging CPU, GPU, or CUDA for high-speed and accurate performance.
- 1. Face Detection: Locate faces within images.
- 2. Face Verification: Adjust accuracy rates to verify face matches.
- 3. Face Identification: Quickly identify individuals from a database with high accuracy.
- 🌐 Website: https://machinevision2050.ir/
- 📖 Documentation: https://machinevision2050.ir/language/en/face-recognition-studio/
- 💬 Support: Contact information available on our website.
- Contact us to obtain the library download link.
- Follow setup instructions in the documentation.
- Use the sample code to integrate the Face Recognition Library into your project.
- Library code requirments: Qt/C++/Opencv
- Ease of Use: Simple and intuitive API. without any knowledge about Image processing, deep learning, machine learning and setup database. All of these handle by library internally.
- Performance: Optimized for
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Speed: dependent on system configuration you can contact me to enquiry. for example: cpu core i5-10400 : 15 fps , on GPU gtx-3060 : 50 fps -
Acceracy: Based on formal benchmark its higher than 99% - Support: Dedicated support available.
We appreciate your feedback! Please reach out via:
- GitHub Issues: Open an issue in this repository.
This repository is for informational purposes only. No code is shared here.