Industry leaders are now seeking ways to simplify processes, cut costs, and get more done with fewer people. Fortunately, the tools and technologies required to accomplish these goals are already here.

You’ve learned about light sources, lenses, cameras, camera interfaces, and image processing software. Now, you may be wondering exactly how to design and implement a complete, successful machine vision system. 

Recent record growth in the machine vision industry has been driven in part by continued advances in machine vision technology and components.

The term machine vision can imply a computer having a set of eyes for an inspection. To develop a complete solution for machine vision applications, vision engineers execute a series of tasks that usually fall into five categories: plan, design, build, integrate, and validate.

Laser tracker technology has advanced by leaps and bounds in the last 20 years. But experts say the biggest shift has actually been in thinking and how they are used.