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

• face_recognition for the facial recognition capabilities.
• OpenCV for image and video processing support.