A Smart Real-time Attendance System using Smart Data Filtering and Selection Techniques

dc.contributor.authorIbrahim M. A., Maliki, D., I. A. Dauda, A. Y. Ogaji, S. Yakubu
dc.date.accessioned2025-05-04T16:43:34Z
dc.date.issued2024-04-09
dc.descriptionThis paper presents the development of a smart real-time attendance system designed to address the limitations of existing attendance solutions in terms of flexibility and resource management, particularly in Nigerian institutions and organizations. The proposed system utilizes smart data filtering and selection techniques to efficiently interpret user-defined attendance rules, thereby optimizing system performance and usability. It incorporates a multi-factor security approach by integrating RFID technology and fingerprint biometrics for accurate and secure attendance tracking. Real-time communication is achieved through a wireless (Wi-Fi) network, enabling seamless data transmission. Performance evaluation based on throughput, latency, and accuracy revealed an average delay of 3 seconds per student, a throughput of 21.95 Mbps, and a false acceptance rate of zero, demonstrating the system’s efficiency and reliability.
dc.description.abstractCooperate organizations, firms, companies, and educational institutions in Nigeria and the whole world are concerned about attendance of students and employees as the case may be, student overall performance is affected by it. In order to provide solutions for attendance management systems, a variety of techniques and technologies were used in the development of the attendance systems. However, most of these systems lack the flexibility of use and appropriate resource management. This paper presents the development of a smart real-time attendance system that uses smart data filtering and selection techniques to parse user-defined attendance instructions, optimize performance, and improve efficiency and flexibility. This system also employs a multi-factor approach in terms of security engaging the use of RFID technology and fingerprint biometrics to manage attendance records. Also, the system uses a wireless (Wi-Fi) communication approach for real-time communication. The performance of the system was mainly evaluated in terms of throughput, latency, and accuracy showing an average delay of 3 seconds per student, 21.95Mbps average throughput, and zero percent false acceptance.
dc.identifier.citationIbrahim M. A., Maliki, D., I. A. Dauda, A. Y. Ogaji, S. Yakubu, (2024). A Smart Real-time Attendance System using Smart Data Filtering and Selection Techniques. El-Amin University Journal of Computing (EAUJC), 2024. Vol. 1. Issue 1, April, 2024. https://www.eaujc.el-aminuniversity.edu.ng.
dc.identifier.urihttp://repository.futminna.edu.ng:4000/handle/123456789/1800
dc.language.isoen
dc.subjectWi-Fi communication
dc.subjectsmart data selection
dc.subjectUser-defined attendance instruction
dc.subjectRFID
dc.subjectFingerprint Biometrics
dc.titleA Smart Real-time Attendance System using Smart Data Filtering and Selection Techniques
dc.typeArticle

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