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Smart event attendance system using facial recognition

Ho, Wai Lun (2023) Smart event attendance system using facial recognition. Final Year Project, UTAR.

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    Abstract

    This project is a development-based project to develop a Smart Customizable Event Attendance System. The main goal of this project is to develop a smart attendance system that will help the organization that wants to start up a business or event to set up a suitable attendance system. Hence, this report is a project proposal for system development. In this project, the brief introduction, literature reviews, project scope and methodology will be discussed. Attendance systems and facial recognition technology have been a concern by many developers and researchers for a long time. However, the application of the combination of facial recognition and various application has just gradually become popular in China in recent years. This is because facial recognition can be regarded as the use of facial biometrics as a "password" in some applications. Therefore, this may cause serious privacy and security risks problems. Hence, this project will also propose improvements and better solutions for this kind of problem and limitation. Then the improved facial recognition system will be applied to the attendance system. In addition, to enable users to use the system proposed in this project to create a suitable attendance system for any type of event, this project also provides other types of attendance system approaches for users to select which include QR code-based attendance system, location-based attendance system and multi-factor attendance system.

    Item Type: Final Year Project / Dissertation / Thesis (Final Year Project)
    Subjects: Q Science > Q Science (General)
    T Technology > T Technology (General)
    Divisions: Faculty of Information and Communication Technology > Bachelor of Computer Science (Honours)
    Depositing User: ML Main Library
    Date Deposited: 08 Sep 2023 21:35
    Last Modified: 08 Sep 2023 21:35
    URI: http://eprints.utar.edu.my/id/eprint/5518

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