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Optoelectronics in Machine Vision-Based Theories and Applications

Optoelectronics in Machine Vision-Based Theories and Applications

Moises Rivas-Lopez, Oleg Sergiyenko, Wendy Flores-Fuentes, Julio Cesar Rodríguez-Quiñonez
Copyright: © 2019 |Pages: 433
ISBN13: 9781522557517|ISBN10: 1522557512|EISBN13: 9781522557524|ISBN13 Softcover: 9781522588061
DOI: 10.4018/978-1-5225-5751-7
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MLA

Rivas-Lopez, Moises, et al., editors. Optoelectronics in Machine Vision-Based Theories and Applications. IGI Global, 2019. https://doi.org/10.4018/978-1-5225-5751-7

APA

Rivas-Lopez, M., Sergiyenko, O., Flores-Fuentes, W., & Rodríguez-Quiñonez, J. C. (Eds.). (2019). Optoelectronics in Machine Vision-Based Theories and Applications. IGI Global. https://doi.org/10.4018/978-1-5225-5751-7

Chicago

Rivas-Lopez, Moises, et al., eds. Optoelectronics in Machine Vision-Based Theories and Applications. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-5751-7

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Sensor technologies play a large part in modern life, as they are present in things like security systems, digital cameras, smartphones, and motion sensors. While these devices are always evolving, research is being done to further develop this technology to help detect and analyze threats, perform in-depth inspections, and perform tracking services.

Optoelectronics in Machine Vision-Based Theories and Applications provides innovative insights on theories and applications of optoelectronics in machine vision-based systems. It also covers topics such as applications of unmanned aerial vehicle, autonomous and mobile robots, medical scanning, industrial applications, agriculture, and structural health monitoring. This publication is a vital reference source for engineers, technology developers, academicians, researchers, and advanced-level students seeking emerging research on sensor technologies and machine vision.

Table of Contents

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Front Materials
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Title Page
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Copyright Page
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Advances in Computational Intelligence and Robotics (ACIR) Book Series
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Editorial Advisory Board
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Preface
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Acknowledgment
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Chapters
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Chapter 1
The detection of physical magnitudes is a common and required task in several areas of technology for measurement and control purposes. Optical detectors are currently applied in a wide range of disciplines. In this section, Chapter...
Optical Detectors for Selected Applications
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Chapter 2
With the beginning of the deep learning era, the rate of advancement in machine vision for modeling the human approach has been astonishingly increased. Classical computer vision techniques have been enhanced and some of them...
Machine Vision for Modeling the Human Approach
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Chapter 3
The most recent and successful experiences in the application of machine vision-based techniques for structural health monitoring are described in this section. Chapter 9 introduces an unmanned bridge inspection and evaluation plane...
Machine Vision for Structural Health Monitoring
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Chapter 4
One of the main goals of technical vision systems is to detect and identify targets covered by obstacles. Section 4 also describes the application of technical vision systems to autonomous mobile robots (AMR), which represent mobile...
Technical Vision for Avoiding Obstacles and Autonomous Navigation
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Back Materials
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Compilation of References
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About the Contributors
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Index
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