Attendance management is critical for every institution; it can determine whether or not an institution, such as
educational institutions, public or commercial sectors, will be successful in the future. To maximise their performance,
institutions will need to keep track of people within the organisation, such as employees and pupils. Real-Time Face Recognition
is a useful way for dealing with the daily attendance of a vast number of pupils. To increase face detection and recognition
performance, several algorithms and strategies have been developed, however, our suggested model uses the LBPH (Local
binary pattern histogram) methodology, which is implemented in Python using the OpenCV organization and employs the tinker
GUI interface for user interface needs.
