Online Attendance System Using Face Recognition

Abstract

An attendance management system is a system used to record the daily attendance and can be used to compile insightful data for better decision making. During the Covid-19 pandemic period, most employees at University College of Yayasan Pahang (UCYP) were instructed to work from home in order to reduce the spread of the disease in workplace. The UCYP’s Human Resource (HR) department record attendance and tasks done by employees during working at home by using word-processing based manual form. IT Department of UCYP has developed portal-based attendance system to keep electronic record of staffs’ attendance to cope with working from home condition. However, there is a need to create a more reliable attendance system. The objective of this project is to create an online attendance system using face recognition technique to overcome the problem faced by the HR department. The first step is to develop a mobile-based attendance system using face recognition technique to capture images of legal employees, store images in the database and provides function for clock in and out. Next, a web-based system is developed to generate attendance reports for personal and HR Department’s usage. Personal Extreme Programming (PXP) methodology has been used to develop the system. Based on the testing done, the system able to function as required in capturing the face images of legal employees and allowed them to perform checking in and out. An online attendance management system using face recognition technique able to solve the problem faced by the organization and can achieve high accuracy during employee identification.