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Machine Vision - Enabling computers to derive meaningful information from digital images videos and visual inputs - cover

Machine Vision - Enabling computers to derive meaningful information from digital images videos and visual inputs

Fouad Sabry

Publisher: One Billion Knowledgeable

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Summary

What Is Machine Vision
 
Machine vision (MV) refers to both the technology and the methodologies that are used to deliver imaging-based automated inspection and analysis for applications such as automatic inspection, process control, and robot guiding, which are often utilized in industrial settings. Machine vision is an umbrella term that encompasses a wide variety of technologies, software and hardware products, integrated systems, activities, approaches, and expertise. Computer vision, which is a subfield of computer science, and machine vision, which is a systems engineering subject, may be differentiated from one another. It makes an effort to combine already existing technology in novel ways and use them in the process of finding solutions to issues that occur in the real world. This is the name that is most often used for these activities in situations involving industrial automation; nevertheless, it is also used for these functions in other environments, including those involving vehicle guidance.
 
How You Will Benefit
 
(I) Insights, and validations about the following topics:
 
Chapter 1: Machine vision
 
Chapter 2: Computer vision
 
Chapter 3: Thermography
 
Chapter 4: Gesture recognition
 
Chapter 5: Smart camera
 
Chapter 6: Glossary of machine vision
 
Chapter 7: Outline of computer vision
 
Chapter 8: InspecVision
 
Chapter 9: Outline of object recognition
 
Chapter 10: Active vision
 
Chapter 11: Structured-light 3D scanner
 
Chapter 12: Visual servoing
 
Chapter 13: Visual odometry
 
Chapter 14: Vision Guided Robotic Systems
 
Chapter 15: 3D stereo view
 
Chapter 16: Mikrotron-GmbH
 
Chapter 17: Air-Cobot
 
Chapter 18: Objective vision
 
Chapter 19: Egocentric vision
 
Chapter 20: Zivid
 
Chapter 21: Rita Cucchiara
 
(II) Answering the public top questions about machine vision.
 
(III) Real world examples for the usage of machine vision in many fields.
 
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of machine vision' technologies.
 
Who This Book Is For
 
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of machine vision.
Available since: 07/10/2022.
Print length: 321 pages.

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