Photographic Attendance Tracking System Online (PATSO)
S. Rajadurai, N Dhinesh, S. P. Karthikeyan, C. Kalamani · 2023
Attendance tracking is critical to monitoring student or employee attendance in academic and organizational settings. With the rise of online education and remote work, traditional attendance tracking methods are becoming less effective. This paper proposes a web application for an image- based online attendance tracking system (PATSO) that utilizes machine learning algorithm SVM for classification and face recognition technique to identify and track attendance. The system gets a group or an individual image of students from the user and compares them to a pre-stored database of images to verify attendance. The proposed method is convenient, and accurate, and eliminates the need for manual attendance tracking not only in online mode but also in offline modes. The system's effectiveness was evaluated through a series of experiments, which showed a high accuracy rate of over 90%.