Year: 2024
Type: article
Abstract: The comprehensive solution created to reduce impersonation and guarantee the accuracy of academic assessments is the “Preventing Impersonation in Exams through Face Recognition Technology”, which combines face recognition and photo verification during exams. The technique attempts to prevent unauthorised individuals from taking tests on behalf of registered students by combining facial recognition technology with specific student photographs. This system uses cutting-edge facial recognition algorithms and student photo databases to verify the identification of test takers. Face recognition techniques are utilised to authenticate the student's identity in real-time. The technology confirms that the registered student who is physically there is the approved test-taker by photographing and analysing the student's facial features. After scanning, the algorithm divides students into two sets: verified students belong in one set and unverified students in another. Before the test, every student's picture is safely stored in the system's database. To confirm a student's identification during a test, the system takes pictures of them in real-time and compares them to images that they have already registered. Any discrepancies or potential instances of impersonation are flagged for immediate investigation by exam proctors or administrators. The Student Face identification System, which includes facial identification and photo verification during exams, provides a reliable solution for assuring examination integrity and combating academic fraud. Using modern technology, the system delivers effective authentication procedures while also facilitating efficient examination administration operations.
Authors: P. Madhavi Latha, Ch. Swathi, G. Krishna Sathvikai, K. Datta Sai Mukesh, M. Bhargava Raj
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4402929044