Face Recognition Based Attendance System

The advent of facial recognition technology has revolutionized several sectors, including attendance management systems. Traditional attendance tracking methods, such as paper-based systems or biometric scanners, are often cumbersome and error-prone. On the other hand, facial recognition offers a more convenient and accurate alternative. This paper provides a comprehensive overview of face recognition based presence system. The proposed system uses advanced computer vision algorithms to identify and authenticate individuals based on their faces. Using deep learning techniques such as Convolutional Neural Networks (CNN), the system can achieve high accuracy and robustness under various environmental conditions. The main components of the proposed system are face recognition, feature extraction and matching. During recording, the system takes images of people's faces and extracts individual features for identification. During attendance monitoring, the system compares captured images with registered models to verify the identity of individuals in real time.