Tracking student’s presence and absence through an intelligent system

Abstract

This project is based on the use of facial recognition techniques and advanced programmers such as OpenCV to improve the monitoring of students ' attendance at lectures. The main objective is to simplify and improve the process of intelligent attendance and absence control. Key ideas include the use of an intelligent facial recognition camera such as OpenCV to track and record entry and exit times for students, an artificial intelligence system to improve facial accuracy. Storage of information in an advanced database that allows rapid and easy access to attendance and absence information, and medical reporting by students if they have medical reasons for absence, as well as flexibility in allocating the system to meet the different needs of rapporteurs and teachers and dealing with it through a dedicated website for system parties. Using these techniques and programmers, the attendance and absence of students will be monitored with high efficiency and excellent accuracy in the academic environment