Biometric-Based Examination Monitoring System Using Facial Recognition: Case Study of Yaba College of Technology

ABSTRACT:

Examination malpractice and student impersonation is a rising concern in tertiary institutions of learning in Nigeria. Majority of the students nowadays involve in the examination malpractices. Examination monitoring is one of the major approach to ensure quality assurance of school products (graduates). A qualitative examination monitoring will have zero tolerance to examination malpractices. The current method of monitoring of examination in the various school which are manual is prone to examination malpractices like impersonation. This work focuses on the design and implementation of the best approach to curb examination malpractice especially the impersonation. Biometric-based examination monitoring system using facial recognition was developed using YabaTech as a case study. The facial collection was done using the digital webcam on the system, via the openCV module using system operations with the python programming language. The application was tested and the accuracy shows that the system can be deployed for examination monitoring within YabaTech and other institutions of learning as best alternative to the current method of examination monitoring which is manual and prone to different form of examination malpractice.

Keywords: Biometric, Examination Monitoring, facial recognition, Quality Assurance, YabaTech.