Modernizing Attendance Tracking: An Automated Headcount System Integrated with Face Detection

Face detection serves as a crucial prerequisite for face recognition, a technology integral to modern attendance management systems. In this context, an innovative application of face detection is the calculation of headcounts at various events, including educational institutions, workplaces, and informal gatherings. Conventional methods for tally management, often reliant on manual processes, are riddled with inefficiencies, inaccuracies, and susceptibility to manipulation. To address these persistent challenges, this paper introduces an automated headcount system leveraging the Viola-Jones algorithm. This system captures brief video clips, selects frames at regular intervals, and processes them in real-time using face detection. Parametric adjustments were implemented, finally achieving an accuracy of 90.98% and 94.02% for real-time image and real-time video inputs, respectively. The key advantage of this automated approach is its ability to eliminate the need for manual intervention, significantly reducing the margin for error. Automating attendance tracking streamlines tasks, saves time, and promotes transparency. Integrating face detection technology enhances efficiency, accuracy, and convenience in managing headcounts.