Smart Attendance Using Face Recognition and Fingerprint Using Raspberry PI

The Raspberry Pi-based smart attendance system using face recognition and fingerprint authentication is an intelligent monitoring system designed to automate attendance management in educational institutions and workplaces using advanced biometric technologies. The system is built around a Raspberry Pi microprocessor, which controls the overall operation of user identification and attendance recording. The system integrates a USB web camera for capturing facial images and an R307 fingerprint sensor for secure biometric verification to ensure accurate and reliable user authentication. The Raspberry Pi processes the captured biometric data using image processing and fingerprint matching algorithms to identify authorized individuals and record attendance automatically. An I2C LCD display is used to provide real-time system messages and attendance status to users, while a GSM communication module sends instant SMS notifications to administrators, teachers, or parents regarding attendance updates. The system stores attendance records in a digital database or Excel sheet for future reference and monitoring. Designed for educational institutions and organizational environments, this system reduces manual effort, prevents proxy attendance, improves accuracy, and promotes secure and efficient automated attendance management practices..