Enhancing Attendance Management with CNN-Based Face Recognition: A Secure and Efficient Approach

Abstract

The Facial Recognition Attendance System is an automated solution designed to streamline attendance marking using facial recognition technology. The system employs a webcam to capture real-time images, which are processed by a Convolutional Neural Network (CNN)-based deep learning model for accurate identification. Upon successful recognition, the system records the individual's attendance along with the date and time in an Excel sheet. The application is built using the Flask web framework, providing a user-friendly interface for seamless attendance tracking without manual intervention. This system is particularly beneficial for educational institutions and organizations where efficient and accurate attendance management is essential.