Automated Attendance System Using Face Recognition

This paper presents an enhanced automated attendance system that utilizes face recognition technology to improve efficiency, accuracy, and real-time communication in academic environments. The system is designed to integrate directly with the institution’s timetable, ensuring attendance is taken only during scheduled class hours, excluding breaks or holidays. Additionally, it incorporates the Twilio API to send instant SMS notifications to the parents of absent students, promoting transparency and accountability. A unique feature of this system is a mask detection module, which prompts students to remove their masks temporarily for accurate facial recognition. This project demonstrates how combining biometric technology with real-time communication and schedule-aware logic can result in a robust, smart attendance system tailored for modern educational needs.