Articles by Perry C. West

This is the fifth and final article in the series on lighting design for machine vision.

This is the fourth article of a five-article series on lighting design for machine vision.

This is the third article in the five-article series on lighting design for machine vision.

This is the second article in a five-article series on machine vision. 

This is the first of five articles to help you design lighting for machine vision.

Artificial intelligence (AI) is currently the leading trend in machine vision. Every major machine vision software package incorporates AI as one of its tools, and even less common software options include AI features as well.

Selecting the right lighting for machine vision is challenging, as achieving optimal contrast and consistent illumination is crucial for effective image processing. This article discusses the complexities of lighting design, including front versus backlighting and bright versus dark field illumination, and explores how LED technology and the lighting cube concept can streamline your vision system.

The first part of this series covered the basic principles that make high-accuracy measurements possible for machine vision. The second part of the series looked at challenges to accurate measurements due to the application conditions. This third part looks at characteristics and components of the vision system that can limit the achievable accuracy.

The first part of this three-part series covered the principles that allow machine vision to make high-accuracy measurements. This second part examines challenges that the measurement environment imposes on machine vision and gives approaches to mitigate the effects and retain much of the high-accuracy capability.

Machine vision can measure with greater precision and accuracy than human vision. This series starts by exploring techniques for high-precision measurements in vision systems. The next installments will examine challenges and solutions for maintaining this precision and accuracy. First, we'll clarify key terms related to measurement accuracy.