Facial recognition attendance (FRA) system

• Main Author: Manalansan, Lexx Audrey Pecson
• Other Authors: Shen Zhiqi
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
• Online Access: https://hdl.handle.net/10356/149094
• Institution: Nanyang Technological University

With the fast advancing of technology, many fields are adapting into digital ways, such as facial recognition for almost anything like surveillance and marketing. Facial recognition identifies people’s faces through digital images using computer vision technology. This technology helps identify people, which can help in many ways, such as attendance taking. Attendance is an important aspect almost in any field such as work, school, hospitals, events, etc. However, some places like schools still use manual tracking. Manual tracking of attendance can be risking integrity and often results in poor monitoring and inconsistent capturing of absences. It also requires ample time and effort in generating and compiling the records. To address these problems, I propose integrating a web application that tracks laboratory attendance of students through facial recognition to ensure accuracy and authenticity. This system will be able to provide a fast and efficient way of recording student’s attendance. This project will be carried out as a web application using Python and HTML language. SQLite will serve as the database for this system. The project will be run through a desktop or laptop with a webcam.