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AI-Powered Face Recognition System with Real-time Database

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Table of Contents

Introduction

Welcome to the AI-Powered Face Recognition System with Real-time Database repository. This project allows you to create an attendance marking system using computer vision and a real-time database. Users can mark their attendance by simply showing their faces to the webcam, and the system will recognize and log their attendance in a database.

Features

  • Real-time face recognition
  • Attendance logging with timestamps
  • Firebase real-time database integration
  • Easy-to-use user interface

Requirements

Before getting started, ensure you have the following requirements:

  • Python 3.7
  • OpenCV (cv2)
  • cvzone
  • face_recognition
  • Firebase Admin SDK

Installation

  1. Clone this repository to your local machine:

    git clone https://github.com/PinsaraPerera/AI_powered_faceRecognition_system_with_realtime_database.git

  2. Install the required Python packages:

    pip install opencv-python cvzone face-recognition firebase-admin

Usage

  1. Create a Firebase project and obtain the Firebase Admin SDK JSON key file.

  2. Replace serviceAccountKey.json in the project folder with your Firebase Admin SDK JSON key.

  3. Prepare 216px * 216px images of students and store them in the Images folder.

  4. Run the application:

    python EncodeGenerator.py

  5. Run the application:

    python main.py

  6. Use the application to mark attendance by showing your face to the webcam.

Configuration

You can customize the project by modifying the following parameters in the code:

  • Firebase Real-time Database URL: Replace with your Firebase Database URL.
  • Storage Bucket: Replace with your Firebase Storage bucket.

Contributing

Contributions are welcome! Feel free to submit issues and pull requests to help improve this project.