An OpenCV and Single-Camera Facial Recognition Real-Time Attendance System

Traditional attendance mechanisms have fallen short of providing an actual guarantee in attendance, especially in advanced commercial and academic milieus, based on the general practice of proxy attendance. This paper details the implementation of an attendance system based on technologies like cameras and facial recognition capabilities. By prohibiting unlawful attendance using proxy mechanisms, this system seeks to improve the accuracy of attendance tracking. We present a strong framework that takes, processes, and validates facial photos in real-time by utilising developments in computer vision and machine learning. This provides a creative way to get around the drawbacks of traditional attendance systems.