Automated Student Attendance Using Computer Vision
Authors:-Reshi, Merinkanth, Yogeswari, Gayathri, HOD/IT Dr.P.Sachidhanandam
Abstract-The implementation of an Automated Student Attendance System utilizing Computer Vision optimizes attendance management by leveraging facial recognition technology to automate the marking process. This approach minimizes manual intervention while enhancing accuracy and efficiency. A web-based interface facilitates seamless attendance tracking, record maintenance, and real-time monitoring. Furthermore, the system incorporates email notifications to provide timely updates and allows direct downloads of attendance logs for administrative convenience. Security measures are reinforced through the identification and image capture of unauthorized individuals, with automated email alerts dispatched to administrators for enhanced surveillance. By integrating artificial intelligence, this system ensures a robust, reliable, and autonomous attendance tracking solution, significantly improving record-keeping efficiency within educational institutions and organizations.
