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Contagem automática de ovos de mosquitos Aedes em ovitrampas com visão computacional baseada em aprendizado de máquina

dc.creatorSobral, Albert Alvin Bandeira
dc.date.accessioned2026-02-12T12:35:14Z
dc.date.available2026-02-12T12:35:14Z
dc.date.issued2025-11-13
dc.identifier.citationSOBRAL, Albert Alvin Bandeira. Contagem automática de ovos de mosquitos aedes em ovitrampas com visão computacional baseada em aprendizado de máquina. 2025. 64f. Trabalho de Conclusão (Curso Superior Tecnológico em Analise e Desenvolvimento Sistemas). - Instituto Federal de Ciência e Tecnologia de Pernambuco, Recife. 2026.pt_BR
dc.identifier.urihttps://repositorio.ifpe.edu.br/xmlui/handle/123456789/1988
dc.description.abstractThe present study proposes the automation of egg counting for Aedes aegypti and Aedes albopictus mosquitoes, vectors of arboviruses, through computer vision based on machine learning. Using images from ovitraps provided by Fiocruz-PE, fine-tuning was applied to advanced models (YOLOv10, YOLOv11, and Faster R-CNN) to overcome challenges related to high variability and noise in the images. The solution reduces manual effort and analysis time, contributing to more effective strategies for controlling diseases such as dengue, zika, and chikungunya.pt_BR
dc.format.extent64f.pt_BR
dc.languagept_BRpt_BR
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dc.rightsAcesso Abertopt_BR
dc.rightsAn error occurred on the license name.*
dc.rights.uriAn error occurred getting the license - uri.*
dc.subjectSistema de computaçãopt_BR
dc.subjectAedespt_BR
dc.subjectOvos de mosquitospt_BR
dc.subjectVisão computacionalpt_BR
dc.subjectAprendizagem de máquinapt_BR
dc.titleContagem automática de ovos de mosquitos Aedes em ovitrampas com visão computacional baseada em aprendizado de máquinapt_BR
dc.typeTCCpt_BR
dc.creator.Latteshttp://lattes.cnpq.br/0242768633357093pt_BR
dc.contributor.advisor1Oliveira Júnior , Meuse Nogueira de
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/8250068675147894pt_BR
dc.contributor.referee1Oliveira Júnior, Meuse Nogueira de
dc.contributor.referee2Guedes, Paulo Abadie
dc.contributor.referee3Tavares, Eduardo Antônio Guimarães
dc.contributor.referee1Latteshttp://lattes.cnpq.br/8250068675147894pt_BR
dc.contributor.referee2Latteshttp://lattes.cnpq.br/2543620368514830pt_BR
dc.contributor.referee3Latteshttp://lattes.cnpq.br/1233156130663707pt_BR
dc.publisher.departmentRecifept_BR
dc.publisher.countryBrasilpt_BR
dc.subject.cnpqCIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO::SOFTWARE BASICOpt_BR
dc.description.resumoO presente estudo prop ̃oe a automatiza ̧c ̃ao da contagem de ovos de mosquitos Aedes aegypti e Aedes albopictus, vetores de arboviroses, por meio de vis ̃ao computacional ba- seada em aprendizado de m ́aquina. Utilizando imagens de ovitrampas fornecidas pelo instituto Fiocruz-PE, foram aplicados fine-tuning em modelos avan ̧cados (YOLOv10, YO- LOv11 e Faster R-CNN) para superar desafios relacionados `a alta variabilidade e ru ́ıdos nas imagens. A solu ̧c ̃ao reduz o esfor ̧co manual e o tempo de an ́alise, contribuindo para estrat ́egias mais eficazes no controle de doen ̧cas como dengue, zika e chikungunya.pt_BR


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