Mobile Barcode Based Examination Attendance System

Ullah, Khan Rehman; Chua, Vivian Yee Wee; Wong, Valentina Sze Lui; UlHaq, Much. Inam; Yahya, Khan; Hardyman, Bin Barawi Mohd

doi:10.14419/ijet.v7i3.22.17124

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…If the match is successful, attendance is updated in the database. Rahul Sharma et al, [9] developed a mobile app which scans the QR code which acts as user ID and uses fingerprint or voice recognition for verification. In the proposed system smartphones are used instead of separate machine for attendance check-in.…”

Section: Objectivementioning

confidence: 99%

Android-based Attendance System using QR Code and Fingerprint Features

Jercy¹

2020

IJRASET

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Smartphones acts as a companion to people all over the world. It provides numerous benefits to its users. Smartphones can be used within the academic institution to manage student's attendance. There are different methods to maintain attendance such as biometrics. This paper aims to develop the android based attendance system for students using QR code and fingerprint feature. A decoding algorithm is used to verify QR code and fingerprint extraction and matching techniques is used. This system mainly reduces time for taking attendance and saves the lecturing time.

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Section: Objectivementioning

confidence: 99%

Android-based Attendance System using QR Code and Fingerprint Features

Jercy¹

2020

IJRASET

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Framework for Design of Security Systems for Monitoring Examinees and Proctors During External Offline Examinations in Nigeria

Adoga

2023

FJS

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This paper seeks to design a system for monitoring the compliance of external examination centers to set rules and regulations governing the conduct of an external offline examination. The system is designed to check impersonation of examinees, aiding and abetting by teachers and other proctors, importing and submitting answer scripts written outside the approved examination halls and finally monitoring the script submission process to prevent swapping of answer booklets after completion of the examination. The proposed system consist of biometric authentication system, automated attendance system, Closed-Circuit Television (CCTV) cameras for video recording, a script submission system (SSS), a drop box for temporal storage of scripts and human monitors to analyse the recorded videos at monitoring center of the examination board. The system is designed to work even in remote areas with unstable internet as is the case with most examination centers in rural areas in Nigeria. When implemented the system will help check illegal activities in miracle examination centers and reduce examination malpractices by both examinees and proctors drastically.

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User Acceptance Factors Related to Biometric Recognition Technologies of Examination Attendance in Higher Education: TAM Model

2023

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Identity recognition is influenced at all educational levels by biometric technology. The invention of facial recognition technology has added new efficiencies to the traditional method of tracking student examination attendance. This study aims to determine whether biometric recognition technologies could be utilized to enhance undergraduate examination attendance systems. The study examined the perceptions of first-year college students regarding the system’s use of face recognition technologies. Based on the proposed framework, experimental results were obtained by developing and deploying unimodal and multimodal face recognition methods. Using a quasi-practical design with sample groups, undergraduate students’ perceptions of traditional and biometric examination attendance were compared. Adopting the Theory for Reasoned Action and the Technology Acceptance Model, a questionnaire was distributed and analyzed to determine perception factors. The findings reveal that perceived ease of use, and trust and security significantly impact perceived usefulness. It was discovered that perceived usefulness significantly affects behavioral intention to use a system. According to the research findings, multimodal biometric recognition receives significantly more positive ratings than unimodal biometric recognition. This study proposes that universities utilize biometric technology, particularly facial recognition, to assess users’ acceptance of the system.

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Mobile Barcode Based Examination Attendance System

Cited by 3 publications

References 10 publications

Android-based Attendance System using QR Code and Fingerprint Features

Android-based Attendance System using QR Code and Fingerprint Features

Framework for Design of Security Systems for Monitoring Examinees and Proctors During External Offline Examinations in Nigeria

User Acceptance Factors Related to Biometric Recognition Technologies of Examination Attendance in Higher Education: TAM Model

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