When it comes to selecting inspection and measurement software, getting it right is important.

We review the “state of the market” and discuss some established technologies that are maturing to provide value to more end users, as well as some “cutting-edge” technologies that may bear watching.

In this article, we review key standards that currently exist and provide an overview on recent updates and potential changes that will impact and benefit users of machine vision technologies. We also look at the work of various organizations to understand how their standards may impact the machine vision market.

In the fall of 2021, COVID-19 was a top concern for more than half of respondents in our September 2021 survey. Today that number is down to 17%, according to our Annual Quality Spending Survey, which surveyed subscribers in September 2022.

The topic of Quality 4.0 is rapidly becoming a legend due to its mysterious nature; it seemingly has no formal description. Very few people can confidently say that they have seen it or used it. 

As the field of machine vision grows, it becomes increasingly important to understand what makes a machine vision system work well.

Multidimensionality has a specific definition, but like many other words, the definition shifts, or is tweaked, depending on the subject being spoken of and its context.

Quality is not a single field, but in fact the integration of knowledge from many fields of science, technology and management. This can be seen by looking at some of the quality gurus and their more well-known contributions.

Recently I had a discussion with a quality manager concerning the focus of quality and what skills are important to success. It centered on the degree of focus which should be placed on the quality tools versus people and teams.

The Resonance Acoustic Method (RAM) is a long-standing nondestructive test (NDT) that measures the structural responses of a part. These responses are a set of unique and measurable natural frequency (resonance) data.