Optoelectronic Devices Fusion in Machine Vision Applications

Optoelectronic Devices Fusion in Machine Vision Applications

Wendy Flores-Fuentes, Moises Rivas-Lopez, Daniel Hernandez-Balbuena, Oleg Sergiyenko, Julio Cesar Rodriguez-Quiñonez, Javier Rivera-Castillo, Lars Lindner, Luis C. Basaca-Preciado, Fabian N. Murrieta-Rico, Felix F. Gonzalez-Navarro
Copyright: © 2021 |Pages: 36
DOI: 10.4018/978-1-7998-6522-3.ch001
OnDemand:
(Individual Chapters)
Available
$37.50
Current Special Offers
No Current Special Offers
TOTAL SAVINGS: $37.50

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.
Chapter Preview
Top

Background

Optoelectronics is the study of any devices that produce an electrically-induced optical output or an optically-induced electrical output and the techniques for controlling such devices (Marston, 1999), it includes generation, transmission, routing, and detection of optoelectronic signals in a widespread of applications (Dagenais, 1995). Wherever light is used to transmit information, tiny semiconductor devices are needed to transfer electrical current into optical signals and vice versa. Examples include light-emitting diodes, photodetectors and laser diodes (Piprek, 2003).

Complete Chapter List

Search this Book:
Reset