Progress in machine vision processing is charted in major developments that prove significant staying power.

How small can pixels on an image sensor become? We probably don’t know the answer except that they might become very, very small.

You’ve been tasked with integrating a machine vision system. What does integration entail? This article covers the activities you will typically have to handle when integrating a vision system.

Part 1 of this three-part series examined how to identify characteristics of the object and the background you can use to create contrast with the illumination source for your machine vision application. This second part looks at how you go about choosing a light source to take advantage of the characteristics that create contrast. 

You have probably heard, and perhaps experienced, that lighting is a big challenge in applying machine vision and a vital key to its successful application. 

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. 

Successful system integrators display common traits and practices. Whether you are a system integrator (SI) or an end-user, knowing the qualities that make a SI successful can really make a difference in your business.

Not only is modern manufacturing increasing production speeds, but machine vision is being applied to ever more demanding applications that were not feasible before today’s high-speed components became available.

“We’ll just put a camera there.” Sounds easy, doesn’t it?