International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 04 | Apr 2023
p-ISSN: 2395-0072
www.irjet.net
Automated Invigilation System for Detection of Suspicious Activities During Examination Noor Sumaiya1, Navya S K2, Anjali R3, Priya N⁴, Nandan A⁵ 1, Assistant Professor, Department of Computer Science and Engineering, Jnana Vikas Institute of Technology,
Karnataka, India
2,3,4,5 Undergraduate student, Department of Computer Science and Engineering, Jnana Vikas Institute of
Technology, Karnataka, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract –Automated invigilation systems are software
observed during exams, these systems use cutting-edge technologies like facial recognition, eye tracking, and screen recording to alert human examiners for additional investigation. The process of invigilation will be made more effective and efficient, and academic integrity will be improved.
programs that monitor examinations and look for suspect activity using a variety of methods, including facial recognition, eye tracking, and screen recording. These systems have the power to completely alter the way exams are administered, enabling a more effective and efficient method of combating cheating. However, using such systems raises privacy and ethical issues, so the choice to do so should be carefully weighed against any potential advantages and disadvantages. To guarantee that such systems are used morally and with regard for students' privacy rights, it is essential to establish them with transparency and explicit standards. In the end, other strategies for guaranteeing academic integrity, such bettering instruction, should be balanced with the use of automated invigilation technologies.
In recent years, automated invigilation systems have drawn increased interest as a potential means of combating exam cheating. When suspect activity is observed during exams, these systems use cutting-edge technologies like facial recognition, eye tracking, and screen recording to alert human examiners for additional investigation. The process of invigilation will be made more effective and efficient, and academic integrity will be improved. The traditional method of invigilation/examinations, involves in human invigilators to present in examination hall to monitoring the students. The more number of students requires more number of invigilators to bring the quality in education and for the fair conduction of examination. A invigilation system is required to prevent cheating and to avoid any malpractices in examinations as it directly impacts the students morality.
Education institutions resolve student strength and weakness through the examinations. Academic dishonesty has been constantly been worrying factors for the institutes in education system. Cheating and abnormal activities which includes like whispering, impersonation or hand contact these are widely involved in the exams around the globe, this research purpose is to examine and identify the abnormal/malpractices undertaking during the period of exams which results in inequality or unfair examination system. Automated video surveillance which roots image and video processing which is an optimal solution for monitoring the students activities during the offline examination. The proposed system automatically alerts the management when there is any suspicious activities are identified. The proposed system walk through various process- pre-processing, segmentation, classification, feature extraction and related works in sequential manner. The proposed model is effective, efficient and relatively less processing power.
A system based on computer artificial intelligence is proposed for the detection of cheating by the movement of head and neck movements through the surveillance camera. The system is more better and more effective than the traditional invigilation system hence it does not requires much labor, energy, effort and time. Automated invigilation systems offer several benefits, such as reducing the likelihood of cheating, improving exam security and ensuring fairness for all students. They can also save time and resources for educational institutions as fewer human invigilators are needed to monitor the exams. There are also potential downsides including concerns about privacy, accuracy, and the potential for the technology to be misused.
Key Words: Video surveillance, impersonation, segmentation, feature extraction, suspicious
1. INTRODUCTION
The proposed system detects the suspicious activities and cheating works done by the students during the examination. Detection of the cheating activities in the
In recent years, automated invigilation systems have drawn increased interest as a potential means of combating exam cheating. When suspect activity is
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