Development of a Fingerprint-Based Attendance Monitoring System
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Abstract
This paper presents the design and execution process of a fingerprint-based attendance system at Bells University of Technology for Electrical/Electronics Engineering Department, to enhance the accuracy and efficiency of student attendance monitoring. Traditional methods often suffer from errors, are tedious, and capable of being manipulated. The developed system employs fingerprint (biometric) technology, offering a secure, dependable, and tamper-proof solution to these issues. By capturing and verifying students' fingerprints, the system makes sure that only the appropriate individual marks the attendance, effectively eliminating problems like impersonation. The system consists of two modes namely: register and record modes respectively. Firstly, fingerprint data was extracted and stored in a database. For attendance taking, after a user’s fingerprint is placed on the device, checks for similarity is done in connection with the database and the user is marked as present if a match is found. Thereafter, the information is uploaded. With the proposed system, the time taken per student to mark attendance was 6.16 seconds while for the manual method, it was 22.25 seconds per person. The fingerprint-based system streamlines attendance management by automating the recording process, thus saving time for both students and lecturers. It enhances data accuracy by removing the potential for human error and provides a reliable method for maintaining and retrieving attendance records. Additionally, the system offers improved data security, as biometric data is less likely to be compromised compared to the manual method.
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