Kindergarten Facial Recognition Attendance System

Voon, Yu Siang (2023) Kindergarten Facial Recognition Attendance System. [Final Year Project Report] (Unpublished)

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Abstract

The traditional paper-based method of taking attendance in kindergartens poses various challenges and inefficiencies. Young students often struggle with signing their attendance, leading to inaccuracies and time-consuming processes. To address these issues, this project aims to develop a facial recognition attendance system for kindergartens. The objective is to design and implement a system that allows students to register and mark their attendance using facial recognition technology, eliminating the need for manual signatures. The system will also incorporate student information management, ensuring secure storage and administration by authorized personnel. The proposed method involves studying different facial recognition methods, analyzing requirements, designing the system, developing the solution, testing and evaluating its performance, and suggesting future improvements. By implementing this system, kindergartens can enhance attendance tracking accuracy, efficiency, and administration, providing a streamlined and reliable solution for attendance management.

Item Type:	Final Year Project Report
Additional Information:	Project Report (BSc.) -- Universiti Malaysia Sarawak, 2023.
Uncontrolled Keywords:	kindergartens, authorized personnel, enhance attendance tracking accuracy
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User:	Dan
Date Deposited:	23 Jan 2024 05:16
Last Modified:	23 Jan 2024 05:16
URI:	http://ir.unimas.my/id/eprint/44279

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