An application of generative adversarial networks to improve automatic inspection in automotive assembly lines
In manufacturing systems, quality inspection is a critical issue. This can be performed by humans,or by means of Computer Vision Systems ( CVS), which are trained using representative sets of images, modeling classes of defects that may possibly occur. In practice, the construction of such datasets...
| Autor principal: | Mumbelli, Joceleide Dalla Costa |
|---|---|
| Formato: | Dissertação |
| Idioma: | Português Inglês |
| Publicado em: |
Universidade Tecnológica Federal do Paraná
2022
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/28292 |
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