Open AccessReal-Time Internet Based Attendance Using Face Recognition System
Author(s) -
Yushaizad Yusof,
Muhammad Asyraf Mohd Nasir,
Kama Azura Othman,
Saiful Izwan Suliman,
Shahrani Shahbudin,
Rosfarizan Mohamad
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.15.17524
Subject(s) - computer science , interfacing , attendance , cloud computing , bar chart , the internet , python (programming language) , facial recognition system , graphical user interface , world wide web , chart , face detection , interface (matter) , multimedia , database , operating system , artificial intelligence , computer hardware , feature extraction , statistics , mathematics , bubble , maximum bubble pressure method , economics , economic growth
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.