Open AccessA Smart Attendance System for Imam Abdulrahman Bin Faisal University Using Facial Recognition
Author(s) -
Raneem Alghamdi,
Wafaa Alsubaie,
Renad Alharthi,
Wedyan. S Alghamdi,
Dabiah Alboaneen,
Nourah Alqahtani
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1627/1/012004
Subject(s) - attendance , bin , computer science , process (computing) , medical education , mathematics education , multimedia , psychology , medicine , algorithm , political science , operating system , law
Students’ attendance is one of the methods used to ensure students success by making sure that a student does not miss many classes. The most dominant method used nowadays in the Saudi universities such as, Imam Abdulrahman Bin Faisal University (IAU), is the traditional method where the instructors are the ones responsible for taking student’s attendance. Developing new and effective methods is critical to improve the traditional way and minimise their errors. A proposed facial recognition based attendance system is one efficient method that can substitute the traditional methods. Installing cameras in classrooms where it detects faces and recognise each face for attendance registration is more competent. The system can also track students’ attendance and warn them if they exceeded the permitted absences rate. The proposed system facilitates the attendance registration process and reduces the time and effort for both students and instructors.