Face Recognition-Based Attendance System

Domain: Computer Vision

Publication: Published in Springer, series: Advances in Information Communication Technology and Computing (AICTC 2024)

Objective

Implemented OpenCV-based facial recognition using Haar cascade and LBPH for classroom attendance automation.

Key Features

• Real-time face detection using Haar cascade classifier
• Face recognition using Local Binary Pattern Histogram (LBPH)
• Automated attendance tracking and logging
• User-friendly interface for classroom management
• Database integration for attendance records

Technologies Used

• Python
• OpenCV
• Haar Cascade Classifier
• LBPH Algorithm
• SQLite/MySQL for database

Impact

• Automated attendance tracking reducing manual effort
• Improved accuracy in attendance records
• Real-time monitoring capabilities
• Published research work in international conference