DEVELOPMENT AND IMPLEMENTATION OF A FACIAL RECOGNITION-BASED ATTENDANCE MANAGEMENT SYSTEM FOR FACULTY AT PHINMA SAINT JUDE COLLEGE MANILA

Abstract

The attendance of faculty is important to educational standards, yet many schools still rely on outdated techniques that are mostly subjected to errors and proxy attendance. Hence, this research provides a facial recognition-based attendance management system designed specifically for PHINMA Saint Jude College Manila. This system provides an innovative, contactless, real-time, and automated attendance management system that enhances accuracy, security, and efficiency. It is based on biometric facial recognition, which eliminates manual processes and guarantees dependable identification. Evaluated by the HR and Academics Secretary of the College in a Likert scale across the key metrics of accuracy, efficiency, ease of use, security, and performance, the system merited high ratings from them, especially for accuracy and automated features, significantly reducing administrative workload for enhanced data accessibility for institutional decision-making.