| Autor: |
Zaim Ahmad, Muhammad Shahrul, Binti Ab Aziz, Nor Azlina, Ghazali, Anith Khairunnisa |
| Předmět: |
|
| Zdroj: |
International Journal on Robotics, Automation & Sciences (IJORAS); 2024, Vol. 6 Issue 1, p6-12, 7p |
| Abstrakt: |
Smart classroom enables better learning experience to the students and aid towards efficient campus' management. Many studies have shown positive correlation between attendance and student's performance, where the higher the attendance, the better the student's performance. Therefore, many higher learning institutions make class attendance compulsory and students' attendances are recorded. Technological solutions for an advanced attendance system such as face recognition are highly desirable. Face recognition offers an automated, smart, and authentic solution in recording student attendance. In this work, an artificial intelligence-based face recognition system is used for attendance recording system. The recognized face is used to confirm the presence of a student to the class. Six pretrained face recognition models are evaluated for the adoption in the system developed. FaceNet is adopted in this work with accuracy of more than 95%. The automation system is supported by IoT. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
