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Face Recognition Attendance System Multiple Cameras

This project is a web application built with Flask that utilizes face recognition technology for managing attendance. It allows multiple cameras to stream video over HTTP, enabling real-time attendance tracking. The application supports three user roles: Students, Teachers, and Admins, each with specific functionalities.

🚀 Features

  • Face Recognition: Automatically recognizes students' faces for attendance logging using the face_recognition Python library. 📸
  • Multiple Camera Support: Stream from multiple cameras over HTTP, allowing flexibility in attendance monitoring. 🎥
  • Role-Based Access:
    • Students: View their own attendance records. 📅
    • Teachers: Access attendance data for their classes. 📊
    • Admins: Add or remove face data and manage student records. ⚙️
  • MySQL Database: Efficiently stores and manages user data and attendance records. 🗄️

🛠️ Technologies Used

  • Flask: The web framework for building the application. ⚗️
  • face_recognition: For facial recognition capabilities. 👤
  • OpenCV: For video capturing and processing. 🖥️
  • MySQL: For database management. 🐬
  • HTML/CSS/JavaScript: For front-end development. 🌐

📌 Installation

  1. Clone the repository: 
    git clone https://github.com/RaY8118/Flask_Face_Recognition--multiple_Cameras.git
  2. Navigate to the project directory: 
    cd Flask_Face_Recognition--multiple_Cameras
  3. Install the required packages: 
    pip install -r requirements.txt
  4. Set up the MySQL database and configure the connection in the application.
  5. Run the Flask application: 
    python app.py
  6. Access the web application at http://127.0.0.1:5000.

🌟 Acknowledgments