@inproceedings{5fceac8b010946a5b7213a8379a213dc,
title = "Implementation of a remote system for the supervision of online exams through the use of cameras with artificial intelligence",
abstract = "Camcorders today are no longer considered simple tools that allow us to digitally capture unforgettable moments and memories. These devices, currently, are being used by different entities, companies, institutions and individuals to control and monitor under a physical security management system that gives them a clarity of the existing landscape around them, as well as obtaining clear evidence that compromise their reputation and identification of internal or foreign individuals to them. The analysis of the present project evaluated to reveal the causes of the main problem in the face of the imminent growth in the number of university students who copy during the development of online exams. In accordance with the aforementioned, in this research project we propose the use of advanced image analysis that through learning models manage to detect suspicious behavior pat-terns in real time that will alert students in case of plagiarism.",
keywords = "Cloud, Cloud Architecture, Convolutional Neural Network, Deeplens, Face detection, Landmark detection, Online exam, Online test, Proctoring",
author = "Alfredo Barrientos and Miguel Cuadros and Jean Alba and Cruz, \{Angel Santa\}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2nd IEEE Engineering International Research Conference, EIRCON 2021 ; Conference date: 27-10-2021 Through 29-10-2021",
year = "2021",
doi = "10.1109/EIRCON52903.2021.9613352",
language = "Ingl{\'e}s",
series = "Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021",
}