Students Attendance and Classroom Automation system Using IoT

Abstract

This project deals with face detection for an attendance recorder system for the purpose of maintaining attendance
details of the students. Students faces are pre stored in class databases. Raspberry pi camera capture the student
face and compared to database image if it is matched means that student attendance register with time. In recent
days the automatic intelligence system becomes very popular for smart tasks execution and easy maintenance and
handling of data with the use of advanced processors. To avoid time losses, we are about use automatic process
which is based on image processing. In this novel approach, we are using face detection & face recognition system.
This face detection differentiates faces from non-faces and is therefore essential for accurate attendance. The other
strategy involves face recognition for marking the student’s attendance. The Raspberry pi module is used for face
detection & recognition.