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Taking students attendance in higher institutions using the paper based method is a difficult task especially when the number of students are much. In view of this, an embedded fingerprint based attendance system has become inexpedient to make the job easier and efficient. Attendance management system was developed using Arduino 1.8.7 IDE, C# progr...
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... Two key findings highlighted the effectiveness and quality of the fingerprint sensor during the intensive trial-and-error testing phase of the Fingerprint-Based Classroom Attendance prototype. Interestingly, a quick message is sent to the Arduino receiver before the recognition process starts when a student's fingerprint contacts the sensor [1]. The system's overall effectiveness is increased by this ordered approach, which gives it an extra layer of responsiveness. ...
... During the rigorous trial-and-error testing phase of the Fingerprint-Based Classroom Attendance prototype, two critical findings demonstrated the quality and efficacy of the fingerprint sensor. Interestingly, when a student's fingerprint touches the sensor, a brief message is sent to the Arduino receiver before the recognition process begins [1]. This systematic approach adds an extra layer of responsiveness to the system and increases its effectiveness. ...
This study, which successfully addresses the shortcomings of traditional attendance-checking methods, such as human error, that are inevitable in manual attendance systems given the fact that it is time-consuming. Paper-based systems can be susceptible to forgery, as students may attempt to sign in on behalf of absent classmates. This undermines the integrity of attendance records. Introduces a fingerprint-based classroom attendance system designed using the Arduino Uno microcontroller. The research explores the feasibility of fingerprint biometrics for identity verification in educational settings. Using Arduino Uno, Fingerprint Sensor, RTC Module, and the LCD Monitor the researchers successfully developed a working prototype for the Wired Fingerprint-Based Classroom Attendance. 600 tests were applied to collect the (1.0) lowest and (2.0) highest time of the fingerprint sensor and calculate its average (1.7). The developed system operates offline, storing data securely on an SD card, making it particularly suitable for institutions in areas with restricted internet access. Comparative performance evaluations against conventional pen-and-paper methods highlight the fingerprint-based system's notable capacity, accuracy, positioning it as a transformative tool to enhance attendance tracking procedures and eliminates attendance-related issues to improve overall classroom operations.
