Attendance-Management

This is a Face Recognition-based Attendance System built using OpenCV and Python. The system uses a pre-trained Haar Cascade Classifier for face detection and LBPH (Local Binary Patterns Histograms) for face recognition. It allows real-time attendance marking for up to 50 students per session and stores the attendance records in a CSV file. The project includes a GUI developed using Tkinter, making it easy for users to select subjects and monitor attendance.

Features

• Face Detection: Uses OpenCV’s Haar Cascade Classifier for high accuracy.
• Face Recognition: Implements LBPH face recognizer for real-time face identification with 85% recognition accuracy.
• Real-Time Attendance: Automatically marks attendance as soon as the face is recognized.
• CSV Data Storage: Attendance records are stored in CSV format for easy access and manipulation.
• GUI Interface: A user-friendly Tkinter-based GUI for subject selection and attendance monitoring.
• Handles up to 50 Students per session efficiently.

Tech Stack

• Programming Language: Python
• Libraries:
  • OpenCV (for face detection and recognition)
  • Pandas (for data handling)
  • Tkinter (for GUI)

Run Locally

1. Clone the repository:

   git clone https://github.com/anubhavlal07/Attendance-Management.git
   cd Attendance-Management

2. Install the required dependencies:

   pip install -r requirements.txt

3. Ensure you have OpenCV installed:

   pip install opencv-python
   pip install opencv-contrib-python

4. Run the application:

   python attendance.py

How it Works

1. Face Detection: The Haar Cascade Classifier detects faces from the webcam feed.
2. Face Recognition: LBPH face recognizer is used to identify the faces in real-time.
3. Attendance Marking: Once a face is recognized, the system records the student’s attendance with their ID, name, subject, and timestamp.
4. CSV Storage: The attendance data is saved in CSV format for further processing.

Future Enhancements

• Add support for cloud-based data storage.
• Integrate with a database for better scalability.
• Implement a notification system for students/teachers.
• Add attendance analytics and reporting features.

Contributing

Feel free to fork this repository and submit pull requests for any improvements or bug fixes. Contributions are always welcome!

Screenshots

homePage

registerPage

takeAttendance

checkAttendance