Details

Autor(en) / Beteiligte

• Alghamdi, Raneem
• Alsubaie, Wafaa
• Alharthi, Renad
• Alghamdi, Wedyan
• Alboaneen, Dabiah A.
• Alqahtani, Nourah F.

Titel

A Smart Attendance System for Imam Abdulrahman Bin Faisal University Using Facial Recognition

Ist Teil von

• Journal of physics. Conference series, 2020-08, Vol.1627 (1), p.12004

Ort / Verlag

Bristol: IOP Publishing

Erscheinungsjahr

2020

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• 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.