FACE RECOGNITION ATTENDANCE SYSTEM WITH AUTOMATION

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.