-
Author
-
Tarupiwa, Tarisai. P
-
Title
-
Fingerprint Based Attendance System
-
Abstract
-
This project presents the development and implementation of a fingerprint-based attendance system using Arduino Uno, the AS608 fingerprint module, a Breadboard, and an RTC (Real-Time Clock) module. The aim of the system is to provide a reliable, efficient, and secure method for tracking attendance in various domains, such as educational institutions and workplaces. The project utilizes Arduino Uno, a versatile microcontroller board, which acts as the central control unit for the attendance system. The AS608 fingerprint module is integrated to capture and analyze fingerprint patterns, ensuring accurate identification and authentication of individuals. The Breadboard facilitates easy connection and organization of various components, while the RTC module ensures accurate timekeeping for attendance records.
The project follows a step-by-step methodology, including hardware setup, software programming, testing, and evaluation. The developed system is evaluated for its functionality, accuracy, and user-friendliness. The report provides an in-depth analysis of the advantages, limitations, and scalability of the fingerprint-based attendance system.
The results of the project demonstrate the successful implementation of the fingerprint-based attendance system using Arduino Uno, the AS608 fingerprint module, Breadboard, and RTC module. The system proves to be an effective solution for attendance management, offering reliable identification, streamlined processes, and improved organizational efficiency.
This project contributes to the growing field of biometric identification technology, particularly in the context of attendance tracking. The findings and recommendations from the project serve as valuable insights for future research and development in the field, promoting the adoption of advanced attendance systems in various domains. Through the integration of hardware components and software programming, the developed system demonstrates the practical application of biometric identification technology for attendance management.
-
Date
-
2023
-
Publisher
-
BUSE
-
Keywords
-
Fingerprint Based Attendance System
-
Supervisor
-
Dr Danga
