Attendance System Utilizing Face Recognition Technology

Abstract

- Automatic facial recognition (AFR) technologies have undergone significant advancements in
response to the evolving world. Smart Attendance, utilizing Real-Time Face Recognition, represents a practical
solution integrated into the daily operations of managing student attendance systems. The face recognitionbased attendance system entails the process of identifying students' faces to mark attendance, employing facial
biometrics derived from high-definition monitor videos and other information technologies.
In this face recognition project, the objective is to enable a computer system to swiftly and accurately detect
and recognize human faces within images or videos captured through surveillance cameras. While various
algorithms and techniques have been devised to enhance face recognition performance, the focal concept
implemented here is Deep Learning. Deep Learning facilitates the conversion of video frames into images,
facilitating the recognition of students' faces for attendance purposes, thus automating the attendance database
management seamlessly.