Cognex Release ‘Understanding Machine Vision’ Whitepaper

Get the basics of how machine vision technology works and why it’s the right choice for automating process and quality improvements.

This Introduction to Machine Vision whitepaper is the first step to understanding:

  • What is machine vision?
  • What kind of problems does it solve?
  • What components do you need to build a vision system?
  • How to get the most out of your vision system, and moreā€¦

The whitepaper provides an understanding why automated inspection is vastly superior to manual techniques.

According to the Automated Imaging Association (AIA), machine vision encompasses all industrial and non-industrial applications in which a combination of hardware and software provide operational guidance to devices in the execution of their functions based on the capture and processing of images. Though industrial computer vision
uses many of the same algorithms and approaches as academic/educational and governmental/military applications of computer vision, constraints are different. Industrial vision systems demand greater robustness, reliability, and stability compared with an academic/educational vision system and typically cost much less than those used in governmental/military applications. Therefore, industrial machine vision implies low cost, acceptable accuracy, high robustness, high reliability, and high mechanical, and temperature stability. Machine vision systems rely on digital sensors protected inside industrial cameras with specialized optics to acquire images, so that computer hardware and software can process, analyze, and measure various characteristics for decision making.

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