A Web -Based Attendance Management System Using A Microcontroller.
Alhassan, Safianu (2024)
2024
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024060621651
https://urn.fi/URN:NBN:fi:amk-2024060621651
Tiivistelmä
This thesis presents the development of a web-based attendance management system that integrates a microcontroller and a fingerprint sensor. The goal was to improve the precision and effectiveness of conventional techniques employed for monitoring attendance. The system was intentionally created to tackle prevalent problems such as fraud and human error, providing a more dependable and user-friendly alternative for educational institutions.
The main element of the system consisted of a microcontroller connected to a fingerprint sensor, allowing students to verify their attendance via biometric identity. After the fingerprint scanning process was completed, the attendance data was sent to a web server and kept securely in a database. The data can be accessed through a web-based application that offers features such as live attendance tracking, report creation, and in-depth data analysis.
Throughout the development phase, a thorough evaluation was conducted on various microcontroller plat-forms and communication protocols to guarantee smooth integration and attain maximum performance.
The accuracy and reliability of the fingerprint sensor underwent thorough testing in various environments. The entire system passed thorough testing in a controlled setting, showcasing its exceptional accuracy and efficiency in comparison to manual methods of tracking attendance.
This strategy led to substantial reductions in administrative workload, decreased occurrences of attendance fraud, and enhanced overall management of student attendance information. This project demonstrated the capacity to combine microcontroller technology with biometric sensors and web-based applications, offering an innovative way to modernize attendance tracking in educational environments.
The main element of the system consisted of a microcontroller connected to a fingerprint sensor, allowing students to verify their attendance via biometric identity. After the fingerprint scanning process was completed, the attendance data was sent to a web server and kept securely in a database. The data can be accessed through a web-based application that offers features such as live attendance tracking, report creation, and in-depth data analysis.
Throughout the development phase, a thorough evaluation was conducted on various microcontroller plat-forms and communication protocols to guarantee smooth integration and attain maximum performance.
The accuracy and reliability of the fingerprint sensor underwent thorough testing in various environments. The entire system passed thorough testing in a controlled setting, showcasing its exceptional accuracy and efficiency in comparison to manual methods of tracking attendance.
This strategy led to substantial reductions in administrative workload, decreased occurrences of attendance fraud, and enhanced overall management of student attendance information. This project demonstrated the capacity to combine microcontroller technology with biometric sensors and web-based applications, offering an innovative way to modernize attendance tracking in educational environments.