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Application of Computer Vision and Mobile Systems in Education: A Systematic Review

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dc.contributor.author Sholi, Rubaiya Tasnim
dc.contributor.author Sarker, Md Fouad Hossain
dc.contributor.author Sohel, Md. Salman
dc.date.accessioned 2025-11-04T06:43:14Z
dc.date.available 2025-11-04T06:43:14Z
dc.date.issued 2024-03-01
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/15222
dc.description Articles en_US
dc.description.abstract The computer vision industry has experienced a significant surge in growth, resulting in numerous promising breakthroughs in computer intelligence. The present review paper outlines the advantages and potential future implications of utilizing this technology in education. A total of 84 research publications have been thoroughly scrutinized and analyzed. The study revealed that computer vision technology integrated with a mobile application is exceptionally useful in monitoring students’ perceptions and mitigating academic dishonesty. Additionally, it facilitates the digitization of handwritten scripts for plagiarism detection and automates attendance tracking to optimize valuable classroom time. Furthermore, several potential applications of computer vision technology for educational institutions have been proposed to enhance students’ learning processes in various faculties, such as engineering, medical science, and others. Moreover, the technology can also aid in creating a safer campus environment by automatically detecting abnormal activities such as ragging, bullying, and harassmen en_US
dc.language.iso en_US en_US
dc.publisher Scopus en_US
dc.subject computer vision (CV), en_US
dc.subject mobile system, en_US
dc.subject computer vision and mobile application, en_US
dc.subject education, en_US
dc.subject systematic review en_US
dc.title Application of Computer Vision and Mobile Systems in Education: A Systematic Review en_US
dc.type Article en_US


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