Chapter 1. Introduction to machine vision 1. Introduction 2. Basic elements of machine vision system 3. Classification 4. Technical specifications 5. Designing a Machine Vision System 2 1. Introduction ❖Definition ➢ Machine vision (MV) is the technology and methods used to provide imagingbased automatic inspection and analysis for such applications as automatic inspection, process control, and robot guidance, usually in industry. ➢ Machine vision is a term encompassing a large number of technologies, software and hardware products, integrated systems, actions, methods and expertise. ➢ Machine vision as a systems engineering discipline can be considered distinct from computer vision, a form of computer science. ➢ It attempts to integrate existing technologies in new ways and apply them to solve real world problems. 3 1. Introduction ❖Definition ➢ The overall machine vision process includes planning the details of the requirements and project, and then creating a solution. During run-time, the process starts with imaging, followed by automated analysis of the image and extraction of the required information. 4 1. Introduction ❖Definition https://en.wikipedia.org/wiki/Glossary_of_machine_vision 5 1. Introduction ❖Application: Locate ➢ To find the object and report its position and orientation. 6 1. Introduction ❖Application: Measure ➢ To measure physical dimensions of the object 7 1. Introduction ❖Application: Inspect ➢ To validate certain features 8 1. Introduction ❖Application: Inspect 9 1. Introduction ❖Application: Identify 10 Chapter 1. Introduction to machine vision 1. Introduction 2. Basic elements of machine vision system 3. Classification 4. Technical specifications 5. Designing a Machine Vision System 11 2. Basic elements of machine vision system 2.1. Overview 2.2. Illumination 2.3. Imaging 2.4. Image processing and analysis 12 2. Basic elements of machine vision system ❑ 2.1. Overview http://www.digikey.com/en/articles/techzone/2012

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