Facial Recognition Attendance System (FRAS) using Haar Cascade and LBPH Algorithm

The Face Recognition Attendance System is an advanced automated system designed to record and manage attendance using facial recognition technology. It replaces traditional methods such as manual entry or ID-based systems with a fast, contactless, and secure approach. The system captures real-time images of individuals through a camera and uses machine learning algorithms to detect and recognize faces accurately. Once a face is recognized, the system automatically marks the attendance in the database, reducing the chances of proxy attendance and human error. This technology utilizes image processing techniques and deep learning models such as Convolutional Neural Networks (CNN) for precise facial feature extraction and matching. The system can be deployed in institutions and workplaces to enhance efficiency, accuracy, and security in attendance management. Overall, it provides a reliable, scalable, and user-friendly solution for modern attendance tracking