Face Recognition Smart Attendance System

Abstract

Facial recognition has emerged as a key area of research in recent years because of its vital role in biometric authentication for numerous applica-tions, such as access control and attendance management systems. Effective at-tendance management is essential for organizations, but traditional methods can be challenging and time-consuming. Speech recognition, RFID, biometrics, and eye tracking are just a few of the many automatic identification techniques. Face recognition is one of the most widely used biometric methods for identifi-cation verification. This research presents a deep learning-based facial recogni-tion attendance system based on convolutional neural networks. It employs transfer learning using three pre-trained convolutional neural networks that are further trained on the dataset. These networks demonstrated remarkable per-formance, achieving high prediction accuracy while maintaining a reasonable training time.