Facial Recognition Attendance System

Song, Mern Shen (2025) Facial Recognition Attendance System. Final Year Project (Bachelor), Tunku Abdul Rahman University of Management and Technology.

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Abstract

In today's digital age, traditional attendance methods are increasingly outdated and prone to errors and fraud. The proposed Facial Recognition Attendance System offers a solution by leveraging facial recognition technology to simplify attendance tracking. This system aims to streamline the process, prioritize fraud prevention, and enhance attendance management for both users and administrators. By integrating robust facial detection and recognition capabilities, the system ensures accurate attendance recording while minimizing errors and fraudulent practices. Key features include facial detection, comprehensive reporting capabilities, integration with calendar systems, and customizable parameters for efficient attendance management. The system adopts an incremental software process model to facilitate efficient development and deployment. Overall, the Facial Recognition Attendance System represents a significant advancement in attendance management technology, offering enhanced security, efficiency, and user experience.