Web-based Biometric Attendance
Agyemang, Philip Konadu (2024)
2024
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024060722253
https://urn.fi/URN:NBN:fi:amk-2024060722253
Tiivistelmä
The primary objective of this research was to create an online attendance management system utilizing Arduino Nano, ESP8266, and the R503 fingerprint sensor. The aim was to enhance the precision and security of attendance tracking in educational establishments. The system provided real-time updates and verification, eliminating the need for manual techniques, and was meant to deliver a reliable and automated solution. The integration of these components was intended to deliver a seamless user experience, empowering administrators to effectively oversee student attendance.
The results showed that by means of biometric verifications, the online attendance management system efficiently reduced the time and effort needed for tracking attendance, so improving precision and safety. High degrees of system efficiency and user-friendliness satisfied administrators.
Using Arduino Nano, ESP8266, and the R503 fingerprint sensor in an attendance management system produced a notable improvement over more traditional methods, according to the study. User experience and operational efficiency both showed this development. Future research could look at how to combine advanced data analytics with mobile application support to further system capabilities.
The results showed that by means of biometric verifications, the online attendance management system efficiently reduced the time and effort needed for tracking attendance, so improving precision and safety. High degrees of system efficiency and user-friendliness satisfied administrators.
Using Arduino Nano, ESP8266, and the R503 fingerprint sensor in an attendance management system produced a notable improvement over more traditional methods, according to the study. User experience and operational efficiency both showed this development. Future research could look at how to combine advanced data analytics with mobile application support to further system capabilities.