Abstract:
This thesis describes a face recognition attendance system that utilizes the Local Binary
Patterns Histogram algorithm for the face recognition and Flask framework for the
backend server and the automation. The primary objective is to create a system that is
more efficient for the education sector which now the manual attendance system is still
widely used in this sector. The automation is to send an attendance report to the person
in charge, which could be the lecturer, teacher, or admin person. The tool used in this
thesis for the system is Python for the programming language as it is commonly used
in machine learning. XAMPP to handle the database, Flask framework to handle the
backend server, and connect with the database. The benefit of this thesis is enabling the
education sector to implement the attendance system efficiently with less cost as the
development of the system used open-source frameworks and also the improvement in
the attendance system. The result of this thesis is a face recognition system is that it
works as expected with the features listed in the system overview as the parameter.
