dc.creatorOgosi Auqui, José Antonio
dc.creatorAguirre Rodríguez, Cesar Edinson
dc.creatorArenas Ñiquin, José Luis
dc.creatorGuadalupe Mori, Víctor Hugo
dc.creatorVera Cuya, Ronald Martin
dc.creatorPérez Rojas, Even Deyser
dc.date.accessioned2023-10-05T20:03:31Z
dc.date.accessioned2024-05-16T17:40:46Z
dc.date.available2023-10-05T20:03:31Z
dc.date.available2024-05-16T17:40:46Z
dc.date.created2023-10-05T20:03:31Z
dc.date.issued2023-07
dc.identifierhttps://hdl.handle.net/20.500.14308/4938
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9483719
dc.description.abstractThe world is facing unprecedented challenges due to the COVID-19 pandemic, this situation has slowed development progress in many countries. The pandemic has had a very strong impact on human capital: many lives, education, basic well-being, and future productivity were taken. Many countries have become increasingly concerned with the pandemic, which necessitates research in new information technologies. This includes artificial intelligence research. One new idea we present in this paper helps to fight the epidemic. Very little research has been conducted on mask detection. This is because masks provide protection against COVID-19, and people with masks struggle to function normally without protection. However, recent advances in CNNs have made it possible to extract deep features from faces.
dc.languageeng
dc.publisherLatin American and Caribbean Consortium of Engineering Institutions
dc.publisherAR
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectInteligencia artificial
dc.subjectCOVID-19
dc.subjectAprendizaje profundo
dc.subjectDetección de rostros
dc.subjectProtección facial
dc.titleAnalysis of the impact of the use of Artificial Intelligence as a service for the detection of unprotected facial passers-by.
dc.typeinfo:eu-repo/semantics/article


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