Attendance Management System Based on Face Recognition using Raspberry PI

This paper presents a Raspberry Pi-based facial recognition attendance system utilizing deep learning for accurate, real-time logging. By integrating face detection, landmark prediction, and feature extraction, the system offers efficient attendance tracking through live video feed analysis. Its high accuracy and reliability underscore its potential for enhancing security and efficiency in diverse operational settings.