Assessment of Face Recognition Technology for the Attendance System during COVID-19 Pandemic

Abstract

The pandemic of COVID19 has pushed the entire World into a very different scenario. Many corporate sectors have already started looking for a contact-less attendance system after the offices were reopened after a long lockdown period. However, most of such implementations included methods which were not imposing authentication in the process. Hence the idea of using Face Recognition Technology for this purpose was also considered. This is already being used in many highly secured places such as Airport, Customs etc. There is a possibility of implementing this concept in the education sector. By means of the special camera installed at the entrance gate, image (students or employees) is taken when they enter, and the image is processed. After completing the image processing, the face is then compared with the registered (students or employees) pictures. When the identity of the image (student or employee) is determined, will be registered as attendance. Still, there is a need for an assessment of the integrity of this technology which can be done by a thorough literature review in this research paper. Researchers have finally concluded that implementation of this technology for attendance system is very secure and beneficial for the organizations.