Attendance Monitoring System based on Artificial Intelligence Facial Recognition Technology
Ming‐Fong Tsai, Min-Hao Li · 2021
Attendance monitoring is a basic system that is required for the operation of a company. However, traditional paper-based clock-in devices and radio frequency identification methods cannot avoid consigning others to the punch card problem. This paper therefore presents an attendance monitoring system based on Artificial Intelligence (AI) facial recognition technology. The proposed system uses a deep learning Tensorflow framework to build a face recognition model that can detect images in real time and upload this information to a cloud server. Our face recognition system can be used to store ‘punch card’ records as part of an attendance monitoring system.