Real-Time Internet Based Attendance Using Face Recognition System

  • Authors

    • Yuslinda Wati Mohamad Yusof
    • Muhammad Asyraf Mohd Nasir
    • Kama Azura Othman
    • Saiful Izwan Suliman
    • Shahrani Shahbudin
    • Roslina Mohamad
    2018-08-13
    https://doi.org/10.14419/ijet.v7i3.15.17524
  • Attendance, Face Recognition, Internet of Thing, Raspberry PI, Real Time.

  • Abstract

    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.

     

     

  • References

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  • How to Cite

    Wati Mohamad Yusof, Y., Asyraf Mohd Nasir, M., Azura Othman, K., Izwan Suliman, S., Shahbudin, S., & Mohamad, R. (2018). Real-Time Internet Based Attendance Using Face Recognition System. International Journal of Engineering & Technology, 7(3.15), 174-178. https://doi.org/10.14419/ijet.v7i3.15.17524

    Received date: 2018-08-14

    Accepted date: 2018-08-14

    Published date: 2018-08-13