FACE RECOGNITION-BASED ATTENDANCE SYSTEM USING GROUP PHOTOS

Abstract

This survey paper details the development of an advanced machine learning-based attendance system integrated with a MySQL database. The proposed system leverages facial recognition technology to facilitate efficient user registration and attendance management, specifically within educational settings. By employing Convolutional Neural Networks (CNN) and Multi-task Cascaded Convolutional Networks (MTCNN) integrated through the Keras deep learning framework, the system aims to significantly improve accuracy, scalability, and real-time operability. The paper discusses the motivation, design architecture, implementation, and potential impacts of the system, alongside an evaluation of traditional attendance methods and their limitations.