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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.

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real-time-face-recognition-ssd-kivy

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.

Real-Time Face Recognition with SSD & Kivy

Overview

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.

Table of Contents

Applications

  • 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.

Prerequisites

  • Python 3.x
  • OpenCV
  • Kivy

Installation

  1. Clone the repository:

    git clone https://github.com/Ankush251992/real-time-face-recognition-ssd-kivy.git
  2. Install the required packages:

    pip install opencv-python
    pip install kivy

Usage

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.

About

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.

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