An Enhanced Attendance Tracking Framework Using Barcodes: A Network-Enabled Framework
An Enhanced Attendance Tracking Framework Using Barcodes: A Network-Enabled Framework
Author(s): Arwa Wali, Sahar Badri, Ghadi Hani Shaheen, Fatmah Hamad Alahmadi, Amjad Ghazai AlsulamiSubject(s): ICT Information and Communications Technologies
Published by: UIKTEN - Association for Information Communication Technology Education and Science
Keywords: Attendance; barcode; Orca Scan;, student attendance
Summary/Abstract: Tracking student's attendance in exams is the most important and difficult procedure at universities to authenticate student's identity. The process of recording attendance at King Abdulaziz University uses a barcode scanning technique known as the Orca Scan application. This research paper aims to propose a framework to make the whole process automated including attendance and absence of students in exams by scanning the barcodes. This paper will improve the Orca Scan application by developing a framework to be more valuable and helpful in identifying students in specific courses, listing absent students automatically, and showing statistical data about the students.
Journal: TEM Journal
- Issue Year: 14/2025
- Issue No: 2
- Page Range: 1174-1187
- Page Count: 14
- Language: English