The Attendance Management System Using Face Recognition is an automated system designed to facilitate accurate and efficient tracking of attendance through facial recognition technology. This system aims to reduce the manual efforts involved in attendance taking, increase accuracy, and ensure security in various educational or corporate environments.
- Automatic Face Detection: Detects faces in real-time through a webcam or any other video input.
- Face Recognition: Identifies registered faces to mark attendance automatically.
- Attendance Record: Maintains a database of attendance records that can be accessed and reviewed anytime.
- Real-Time Updates: Updates attendance records in real-time during the session.
- Report Generation: Generates detailed reports on attendance data, which can be exported in various formats.
- User Dashboard: Provides a user-friendly interface for both administrators and users to interact with the system.
- Python 3.x
- OpenCV for face detection and recognition
- SQLite for database management
- Flask for the web framework
- HTML/CSS/JavaScript for the frontend