Face Recognition Attendance System

Abstract

Face recognition attendance systems have gained significant attention due to their ability to automate attendance tracking while ensuring accuracy and security. This abstract presents a face recognition attendance system developed using Python Flask Framework and various libraries including OpenCV and face_recognition. The system consists of modules for student and faculty authentication, registration, attendance marking, viewing, exporting, and statistical analysis. For students, the system provides a secure login interface and allows registration with unique identifiers. Students can view their attendance records and logout securely. Faculty members have access to a dashboard where they can mark attendance by uploading images, view attendance records, and export them for further analysis. The system also provides statistical insights into attendance patterns.