Unlock the potential of real-time face recognition with this Python-based application. Utilizing the Single Shot Multibox Detector (SSD) for accurate and fast detection, and Kivy for an intuitive GUI, this project serves as a comprehensive solution for security systems, attendance tracking, and more.
Welcome to this exciting project that leverages the power of Single Shot Multibox Detector (SSD) and Kivy to implement a real-time face recognition system. This repository contains a Python script that performs face recognition using your webcam and displays the result in a Kivy-based GUI.
- Home Security: Integrate into your home security system for enhanced safety measures.
- Attendance Systems: Employ for automated, real-time attendance marking.
- Video Surveillance: Implement in public areas for person-of-interest identification.
- Python 3.x
- OpenCV
- Kivy
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Clone the repository:
git clone https://github.com/Ankush251992/real-time-face-recognition-ssd-kivy.git
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Install the required packages:
pip install opencv-python pip install kivy
To run the script, navigate to the repository directory and execute:
python SSD_Face_Recogniser.py
# Contributing to Real-Time Face Recognition with SSD & Kivy
## How to Contribute
1. Fork the repository.
2. Create a new branch (`git checkout -b new-feature`).
3. Make your changes.
4. Commit your changes (`git commit -am 'Add new feature'`).
5. Push to the branch (`git push origin new-feature`).
6. Create a new Pull Request.
## Code Style
Please adhere to PEP 8 coding standards for Python.
## Issues and Bug Reports
Feel free to open new issues for bug reports or feature requests. Be sure to describe the issue in detail for quicker resolution.