University Student Control Detection System Based on Machine Learning and Artificial Intelligence
Read ArticleDate of Conference
December 6-7, 2022
Published In
“Exponential Technologies and Global Challenges: Moving toward a new culture of entrepreneurship and innovation for sustainable development”
Location of Conference
Virtual Edition
Authors
Calvo-Lavado, Cristhian
Lopez-Carreño, Joseph
Zarate-Perez, Eliseo
Abstract
The objective of this study was to program a school assistant based on artificial intelligence and integrated with surveillance cameras and loudspeakers in a university classroom. This was done to complement the supervision carried out by university teachers to identify student distractions, guarantee the proper use of masks, and evaluate student behaviors in class. The virtual assistant was developed using Python to generate audio warnings through a graphical interface built in the PyCharm environment. The results demonstrated the desired functionality of the virtual assistant, its ability to meet the requirements of a university classroom, and thereby the effectiveness of the YOLO v5 network and PyCharm used for the training, execution, construction, and implementation of the system.