Face Recognition-Based Automated Attendance System

The attendance system is an essential part of any organization, and the traditional manual attendance system can be very prone to errors and very time-consuming. This paper introduces a sophisticated automated attendance system that combines Principal Component Analysis (PCA) algorithm and Artificial Intelligence (AI) for enhanced accuracy and efficiency. In contrast to error-prone and time-consuming manual attendance processes, our system leverages PCA for robust facial feature analysis, allowing precise identification of students or workers. The integration of AI further refines the recognition process, adapting and learning from diverse facial characteristics to improve system performance over time.