Philippine E-Journals

Attendance Monitoring System using Facial Recognition applying Viola-Jones and Principal Component Analysis Algorithm

Irann Balagtas | Jervie Padaon | Bryan Cedric Punzalan

 

Abstract:

The attendance monitoring system is an important part in every institution and, if taken manually, it wastes a lot of time. In the past, people used time cards or log books to monitor attendance. Today, the new technology is used for attendance monitoring system, including facial recognition. The proponents applied two algorithms, viola-jones and principal component analysis, to develop a good accuracy of facial recognition, and multiple detections. This design project of the attendance monitoring system provided facial recognition with two algorithms which can detect a person's face and recognize the person. The students would know if they have been detected and if they have been recognized by the system. There would be an alternative input aside from the camera just in case the system does not recognize the face of the person several times by manually typing their ID number. The facial recognition system covers multiple face photos, matching of faces, head rotations, detecting 60 to 100 of photos randomly with facial feature points (eyes, eyebrows, mouth and nose) and placing them in a database. The proponents used applied research combined with analytical research while an experimental method was used in project testing. The proponents recommended to future researchers to use the proper specifications of laptop for fast, smooth and convenient functionality of the design project. Add or use another algorithm that will help the system to extract more features from the students’ faces. Use an adjustable light source that gives a luminance of 3 to 1800 lux for face registration. The use of a 1080p camera for image quality will help the system to recognize a student’s face clearly.