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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665444453 |
| DOIs | |
| State | Published - 2021 |
| Event | 2nd IEEE Engineering International Research Conference, EIRCON 2021 - Virtual, Lima, Peru Duration: 27 Oct 2021 → 29 Oct 2021 |
Publication series
| Name | Proceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021 |
|---|
Conference
| Conference | 2nd IEEE Engineering International Research Conference, EIRCON 2021 |
|---|---|
| Country/Territory | Peru |
| City | Virtual, Lima |
| Period | 27/10/21 → 29/10/21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Cloud
- Cloud Architecture
- Convolutional Neural Network
- Deeplens
- Face detection
- Landmark detection
- Online exam
- Online test
- Proctoring
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