Automation of traditional exam invigilation using CCTV and bio-metric

Abstract

In education, whilst e-learning has been playing a significant role over the last few years due to its flexibility and remote-based education system, majority of courses are still relying upon traditional approaches of learning due to the lack of integrity and security of online based examinations and assessments in e-learning. As such, traditional approach of examination system is considered superior method than e-examination but it has few limitations in its tag such as excessive number of physical resources (invigilators) is required and high occurrences of malpractices by the students during exam. The objective of this paper is to develop a framework for traditional pen and paper based examination system where number of invigilators will substantially be reduced and malpractices by the students during exam will be abolished. In order to implement the proposed examination system, educational institutions are required to preserve a database using Parallax Data Acquisition tool (PLX-DAQ) that incorporates bio-metric information of all students. Before entering in the examination hall, examinees go through authentication process via bio-metric reader that is attached in front of each exam hall. During the examination, examinees are monitored and controlled by an invigilator from distance through the use of 360-degree Closed-Circuit Television (CCTV) cameras as well as ultra-high sensitive microphones and speakers. Here, CCTV cameras are used to monitor examinees physical malpractices and microphones are used to control examinees vocal malpractices. Only one invigilator is required for n-number of exam halls in this process. The communication between students and invigilator can be done with microphones and speakers attached in both exam halls and invigilator room. This model will wipe out malpractices during examination. It will be a cost effective, simple and secure solution of complex traditional exam invigilation process.