Enhanced Intelligent Attendance Management System for Smart Campus Using Computer Vision

Attendance management plays a vital role in educational institutions, but traditional methods are often time-consuming, prone to errors, and vulnerable to proxy attendance. This paper presents an Enhanced Intelligent Attendance Management System for Smart Campus Using Computer Vision that combines RFID-based authentication with facial recognition technology to provide secure and automated attendance tracking. The proposed system utilizes a Raspberry Pi as the central controller, interfaced with an RFID reader, USB camera, LCD display, and email notification service.Students are required to scan their RFID cards and simultaneously undergo facial verification through a USB camera. The system compares the scanned RFID information with the detected face to verify the identity of the individual. Attendance is recorded only when both RFID authentication and facial recognition are successfully matched. If an authorized user is identified, the attendance information is stored, and an email notification is automatically sent to the respective registered email address. In cases of unauthorized access, RFID mismatch, or face mismatch, the system generates an alert and denies attendance registration. The LCD display provides real-time status updates and attendance information.By integrating RFID technology with computer vision-based face recognition, the proposed system enhances attendance accuracy, prevents proxy attendance, improves campus security, and automates record management. The system offers a reliable, efficient, and cost-effective solution for smart campus environments.