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dc.contributor.authorFlores-Fuentes, Wendy-
dc.contributor.authorRivas-Lopez, Moisés-
dc.contributor.authorHernández-Balbuena, Daniel-
dc.contributor.authorSergiyenko, Oleg-
dc.contributor.authorRodríguez-Quiñonez, Julio Cesar-
dc.contributor.authorRivera-Castillo, Javier-
dc.contributor.authorLindner, Lars-
dc.contributor.authorBásaca-Preciado, Luis C.-
dc.contributor.authorMurrieta-Rico, Fabián N.-
dc.contributor.authorGonzález-Navarro, Félix F.-
dc.date.accessioned2024-02-27T02:11:25Z-
dc.date.available2024-02-27T02:11:25Z-
dc.date.issued2021-
dc.identifier.urihttps://repositorio.cetys.mx/handle/60000/1752-
dc.description.abstractThis chapter presents the application of optoelectronic devices fusion as the base for those systems with non-linear behavior supported by artificial intelligence techniques, which require the use of information from various sensors for pattern recognition to produce an enhanced output. It also included a deep survey to define the state of the art in industrial applications following this tendency to identify and recognize the most used optoelectronic sensors, interconnectivity, raw data collection, data processing and interpretation, data fusion, intelligent decision algorithms, software and hardware instrumentation and control. Finally, it exemplifies how these technologies implemented in the industry can also be useful for other kinds of sector applications.es_ES
dc.language.isoen_USes_ES
dc.rightsAtribución-NoComercial-CompartirIgual 2.5 México*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/2.5/mx/*
dc.subjectOptoelectronices_ES
dc.subjectArtificial intelligencees_ES
dc.titleExamining optoelectronics in machine vision and applications in industry 4.0es_ES
dc.typeBook chapteres_ES
dc.description.editionIGI GLOBALes_ES
dc.identifier.doi10.4018/978-1-7998-6522-3.-
dc.subject.sedeCampus Mexicalies_ES
dc.publisher.editorialAdvisory Boardes_ES
dc.title.chapterOptoelectronic Devices Fusion in Machine Vision Applicationses_ES
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