| dc.description.abstract | This paper will show how we can implement algorithms for face detection and recognition in
image processing to build a system that will detect and recognize frontal faces of students in a
classroom. “A face is the front part of a person’s head from the forehead to the chin, or the
corresponding part of an animal”. In human interactions, the face is the most important factor as it
contains important information about a person or individual. All humans have the ability to
recognize individuals from their faces. The proposed solution is to develop a working prototype
of a system that will facilitate class control for Kingston University lecturers in a classroom by
detecting the frontal faces of students from a picture taken in a classroom. The second part of the
system will also be able to perform a facial recognition against a small database. In recent years,
research has been carried out and face recognition and detection systems have been developed.
Some of which are used on social media platforms, banking apps, government offices e.g., the
Metropolitan Police, Facebook etc. | en_US |
