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IoT-based fingerprint biometric attendance system

Wan Mohd Nor, Wan Muhammad Arif (2024) IoT-based fingerprint biometric attendance system. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)

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Abstract

This project presents an "IoT-Based Fingerprint Biometric Attendance System," designed to modernize traditional attendance tracking through the integration of fingerprint biometrics and Arduino technology. The system utilizes fingerprint sensors and Arduino microcontrollers to ensure accurate and secure biometric data capture and verification. Advanced Arduino programming enables efficient processing of fingerprint data and seamless communication with the attendance database, facilitating real-time monitoring. This enhances accountability and provides a user-friendly interface that simplifies interaction for both administrators and users, promoting widespread adoption and ease of use. This innovative solution addresses the limitations of conventional attendance systems, offering increased reliability, improved security, and greater user confidence. By transforming the attendance tracking process, this project empowers organizations to manage attendance more effectively, contributing to enhanced productivity, operational efficiency, and overall satisfaction.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: IoT, Fingerprint scanner, Arduino, Attendance, Real-time
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Library > Final Year Project > FTMK
Depositing User: Sabariah Ismail
Date Deposited: 30 Dec 2024 00:49
Last Modified: 30 Dec 2024 00:49
URI: http://digitalcollection.utem.edu.my/id/eprint/34405

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