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
