Proctoguard
Abstract: Determining student's anomalous behaviour in the examination room is an important issue to consider. Video surveillance is one of the foremost machinery for identifying the aberrant behaviour of the students in the test room. This method performs best when it is used with a compact camera and focuses on every student. The system is designed to detect unique patterns for actions of concern in real-time, such as passing of notes, using cell phones & earphones etc., during exam hours. This detection is based on the CNN algorithm. The paper explores ways to discover the unusual behaviour of the students in a test room that helps to avoid cheating in the test room and helps to reduce the duty of invigilators and provide evidence of cheating with an alarm sound. The system also manages the entire examination process , ensuring efficiency, security ,and transparency.
Keywords: AI proctoring, anomaly detection, facial recognition, exam surveillance, academic integrity, computer vision, MAR, Google Vision API
How to Cite?: Swathy Mohan, "Proctoguard", Volume 14 Issue 5, May 2025, International Journal of Science and Research (IJSR), Pages: 660-662, https://www.ijsr.net/getabstract.php?paperid=MR25508193548, DOI: https://dx.doi.org/10.21275/MR25508193548