Title: Fingerprint-Based Student Verification and Attendance System for Examination (IoT-Based)
Authors: Frank whero,Ray kapinga ,Meinrard kapinga, Amiry kozzy, angelina lutatina,Ami mwaisango, Amran hamadi, Amos sweya.
Volume: 10
Issue: 4
Pages: 48-51
Publication Date: 2026/04/28
Abstract:
Examinations play a crucial role in assessing academic performance in higher learning institutions, making examination integrity a key concern. Despite this, many institutions continue to rely on manual student verification and attendance recording during examinations. This process involves checking identity cards and paper-based attendance lists, which is slow, prone to human errors, and vulnerable to impersonation and proxy attendance. In large examination halls, manual verification often leads to delays and disturbances that negatively affect the examination environment. Biometric technology, particularly fingerprint recognition, offers a reliable solution due to its uniqueness and resistance to duplication. When combined with Internet of Things (IoT) technology, fingerprint-based systems enable automatic student verification and real-time transmission of attendance data to centralized databases. This improves accuracy, enhances examination security, and reduces administrative workload. This study proposes a fingerprint-based IoT attendance and student verification system tailored for examination environments. The system is designed to provide fast, quiet, and reliable verification, reduce impersonation, minimize human errors, and support an organized examination process. The study emphasizes the importance of a secure, efficient, and scalable IoT-based fingerprint attendance system to enhance examination integrity and efficiency in higher learning institutions.
Key words;Biometric systems, Fingerprint recognition, student vereification,IoT, Examination attendance