Online Proctoring System
Authors: Sri Raaghav N U, Aathikrishna S K, Anbumani T and Subbulakshmi B
Publishing Date: 06-08-2022
ISBN: 978-81-955020-5-9
Abstract
An online proctoring system will be an effective application to monitor and minimize the malpractices done by students. The main focus here is face detection and face spoofing. Face detection is an artificial intelligence (AI) based computer technology used to find and identify human faces in digital images. It now plays an important role as the first step in many key applications -- including face tracking, face analysis, and facial recognition. By using open cv tensor flow libraries we will be building our face detection model. dlib library is used to mark facial pointers from the detected face. We will be also building a face spoofing model to differentiate the devotional phase from images, videos, photos, and stuff. In this model, live video is provided from the integrated camera or web camera as an input to the model so that we would get the result about whether there is any malpractice that has happened or not.
Keywords
Online proctoring, Dlib, Face detection, Facial pointers, Frontal face detection, Haar cascade, Authentication.
Cite as
Sri Raaghav N U, Aathikrishna S K, Anbumani T and Subbulakshmi B, "Online Proctoring System", In: Saroj Hiranwal and Garima Mathur (eds), Artificial Intelligence and Communication Technologies, SCRS, India, 2022, pp. 137-146. https://doi.org/10.52458/978-81-955020-5-9-13