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Optoelectronic Devices Fusion in Machine Vision Applications
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Author(s): Wendy Flores-Fuentes (Autonomous University of Baja California, Mexico), Moises Rivas-Lopez (Autonomous University of Baja California, Mexico), Daniel Hernandez-Balbuena (Autonomous University of Baja California, Mexico), Oleg Sergiyenko (Autonomous University of Baja California, Mexico), Julio Cesar Rodriguez-Quiñonez (Autonomous University of Baja California, Mexico), Javier Rivera-Castillo (Autonomous University of Baja California, Mexico), Lars Lindner (Autonomous University of Baja California, Mexico), Luis C. Basaca-Preciado (Centro de Enseñanza Técnica y Superior (CETYS), Mexico), Fabian N. Murrieta-Rico (Autonomous University of Baja California, Mexico)and Felix F. Gonzalez-Navarro (Autonomous University of Baja California, Mexico)
Copyright: 2021
Pages: 36
Source title:
Examining Optoelectronics in Machine Vision and Applications in Industry 4.0
Source Author(s)/Editor(s): Oleg Sergiyenko (Autonomous University of Baja California, Mexico), Julio C. Rodriguez-Quiñonez (Autonomous University of Baja California, Mexico)and Wendy Flores-Fuentes (Autonomous University of Baja California, Mexico)
DOI: 10.4018/978-1-7998-6522-3.ch001
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Abstract
This 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.
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