International Journal of Science, Engineering and TechnologyAuthors: Suraj P Madiwal, Vittal S Goudra, Shreepad Gundupkar, Uday Kushalapur, Professor Deepak Sharma
Abstract: Accurate and efficient attendance tracking plays a key role in educational institutions. It helps maintain discipline, ensures transparency, and supports academic evaluation in various ways. Conventional methods for taking attendance tend to be slow and full of errors. They are also easy to manipulate with proxy marking, which makes them unfit for today's academic settings. This paper presents a fully automated Smart Face Recognition Attendance System. The system handles student registration, verifies at gates, monitors entry and exit in classrooms, and offers centralized real-time reporting. It combines face encoding algorithms with computer vision techniques. A MongoDB database backs it up for reliable storage and quick retrieval of attendance events. Multiple cameras allow for ongoing monitoring of student movements across campus locations. This setup relies on stable facial detection and records events with time stamps. Experiments show the system cuts down on manual work a lot. It stops proxy attendance effectively and delivers precise summaries for daily, weekly, and course-wise attendance. The overall solution scales well, stays cost-effective, and proves dependable. That makes it ideal for use in academic institutions.
