Facial recognition system for anti examination impersonation In Makerere University

Abstract

In this study, a facial recognition system was implemented for Anti Examination impersonation in Makerere University, to enable invigilators to easily validate students who are supposed to sit for examinations. Data was collected using questionnaire methods and tools like self-administered questionnaires, which were used for collecting data from 28 respondents. In objective one, the researchers collected primary data which was analyzed using excel spreadsheets and the user requirements were determined. In objective two, the system was designed using data flow diagrams (DFDs), Use case diagram, component diagram, context diagram and enhanced entity relationship diagram (ERD). In objective three, the system was developed using technologies such as Bootstrap, CSS, HTML, JavaScript, machine learning Algorithm, PHP and MySQL among others. In objective four, the system was tested. The findings of the study are a great significance to researchers, Students, University, and Ministry of Education and Sports. The study recommends the adoption of an electronic Facial Recognition-based Management System at each examination room within Makerere University colleges in order to prevent impersonation in Makerere University.