Examining Optoelectronics in Machine Vision and Applications in Industry 4.0
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Examining Optoelectronics in Machine Vision and Applications in Industry 4.0

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)
Release Date: February, 2021|Copyright: © 2021 |Pages: 346|DOI: 10.4018/978-1-7998-6522-3
ISBN13: 9781799865223|ISBN10: 1799865223|EISBN13: 9781799865247|ISBN13 Softcover: 9781799865230
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Description

The research and exploitation of optoelectronic properties in the industrial branch of electronics is becoming more popular each day due to the important role they play in the development of a large variety of sensors, devices, and systems for identifying, measuring, and constructing. While optoelectronics study the applications of electronic devices that source, detect, and transform light, machine vision generates and detects light in order to provide imaging-based automatic inspections and analysis for such applications as automatic object and environmental inspection, process control, and robot/mobile machine guidance in industry. Machine vision is less efficient without optoelectronics, and thus, it is important to investigate the theoretical approaches to different optoelectronic devices available for machine vision as well as current scanning technologies.

Examining Optoelectronics in Machine Vision and Applications in Industry 4.0 focuses on the examination of emerging technologies for the design, fabrication, and implementation of optoelectronic sensors, devices, and systems in a machine vision approach to support industrial, commercial, and scientific applications. The book covers topics such as the design, fabrication, and implementation of sensors and devices as well as the development viewpoint of optoelectronic systems and artificial vision techniques using optoelectronic devices. The interaction and informational communication between all these mentioned devices in the complex solution of the same task is the subject of modern challenges in Industry 4.0. Thus, this book supports engineers, technology developers, academicians, researchers, and students who seek machine vision techniques for detection, measurement, and 3D reconstruction.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Landslide Monitoring
  • Laser Scanners
  • Machine Learning
  • Machine Vision Systems
  • Mobile Robots
  • Optical Noise
  • Optical Scanners
  • Optical Signals
  • Optoelectronic Devices
  • Technical Vision Model

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Julio C. Rodríguez-Quiñonez received the Ph.D. degree from Baja California Autonomous University, México, in 2013. He is currently Professor of Electronic Topics with the Engineering Faculty, Autonomous University of Baja California. He is involved in the development of optical scanning prototype in the Applied Physics Department and research head in the development of a new stereo vision system prototype. He has written 27 papers and is currently reviewer for the IEEE Sensors Journal and participates as a reviewer and Section Chair of IEEE conferences in 2014 and 2015. His current research interests include automated metrology, stereo vision systems, control systems, robot navigation and 3D laser scanners.