Real-time internet based attendance using face recognition system

• Published in: International Journal of Engineering and Technology(UAE)
• Main Author: Yusof Y.W.M.; Nasir M.A.M.; Othman K.A.; Suliman S.I.; Shahbudin S.; Mohamad R.
• Format: Article
• Language: English
• Published: Science Publishing Corporation Inc 2018
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072960233&doi=10.14419%2fijet.v7i3.15.17524&partnerID=40&md5=b7ff6a0d1024100f1a86ebb24998d51a

This project focuses on face recognition implementation in creating fully automated attendance system with a cloud. Cloud services will provide a useful information regarding the attendance such as attendance summary performance and visualizing the data into graph and chart. In this study, we aim to create an online student attendance database, interfaced with a face recognition system based on raspberry pi 3 model B. A graphical user interface (GUI) will provide ease of use for data analysis on the attendance system. This work used open computer vision library and python for face recognition system combined with SFTP to establish connection to an internet server which runs on PHP and Node.js. The results showed that by interfacing a face recognition system with a server, a real-time attendance system can be built and be monitored remotely. © 2018 Authors.