Laboratory Attendance Dashboard Website Based on Face Recognition System

Counting people to check their attendance in laboratory or class session is a wearisome job. We can use written list or biometric system, such as fingerprint, to ensure their attendance. However, these kinds of method are wasting time because they have to queue up just to give the concrete evidence that they have been presence. Therefore, using face recognition can overcome this kind of problem. The face recognition system use CCTV camera to capture the footage of people in the laboratory or class session. This paper will explained the purposed system by integrating face recognition system and dashboard website. Face recognition system implementation is using Dlib, a general purpose open-source library written in C++, and Tiny Face Detector. Whilst, the dashboard website is developed using Dash by Plotly, an open-source Python framework for building web-based analytic applications.