UUM lecturer develops facial recognition system to track student attendance in class
Looks like the days of skipping class and asking your friend to cover your attendance might be coming to a bitter end.
Meet Dr. Noradila Nordin, a lecturer from Universiti Utara Malaysia’s (UUM) School of Computing (SOC), who came up with the brilliant idea of developing a facial recognition system in order to track student’s attendance.
(Picture Credit: Berita Harian)
Facial recognition systems are programs that use biometrics software for identification by analyzing a person’s distinct facial features.
Dubbed the Smart Attendance System, the program is designed to automatically detect and record student class attendance, making the ancient method of signing in your name in pen and paper, obsolete. (Got to save those trees guys…)
The system works by utilising existing images from a given
database in order to accurately log a student’s presence in class.
Not only would it allow lecturers to easily note their student’s attendance through a simple click of a button, but the system also allows students to track their location on campus in real-time by use of a mobile phone. (We imagine it’s like having a mini-map in your pocket…)
Though the system is currently still in its prototype stage, Dr. Noradila is optimistic that with the aid of her students, the program can be developed to its full potential.
For her ingenious invention, Dr. Noradila along with one of her students, 25-year-old Nurul Husna Mohd Fauzi won the silver medal at the 2019 Innovative Research, Invention and Application Exhibition (I-RIA) which took place recently.
Seems like things are going to get a little hard for all you kaki ponteng out there.
