Check out our cover story on metrology toolbox options, products that offer complex measuring results, but are simple for operators to use, how continuous improvement keeps quality top of mind, a Vision & Sensors special edition and many more in this month’s Quality.
The science behind 3D scanners and CMM technologies is different; however, both collect coordinate measurement data and are widely used within the plastics industry. When is it better suited to use non-contact structured light 3D scanners than touch CMMs?
Motivation for wanting to be an auditor is critical to be an effective auditor. I have concerns when someone expresses to me that “I am tired that this is not being done or everyone is getting away with this or that.”
What is the best way to encourage a continuous improvement culture? While organizations have historically used rewards to entice employees to support these efforts, upper management’s ongoing and visible support is the best way to make continuous improvement “a way of life,”
Combining the best of metrology and other industries creates products that are simple for the operator to use while also providing very complex measuring results.
There is a blur between the advances in metrology and the use of advances from other industries. But sometimes, combining the best of both worlds creates products that are simple for the operator to use while also being able to provide very complex measuring results.
Additive manufacturing produces parts layer by layer and this opens up an array of unique issues that can affect the integrity of a finished product, and also a unique set of surface characteristics that make the job of measuring and validating that much more difficult.
Reverse engineering as a term is adopted by many industry subsets. From genetics, computer code, complex PCBs (printed circuit boards), and even military espionage. In this article, we are specifically relating to a metrology-driven process steered by high-precision 3D data acquisition tools.
Smart manufacturing, like many other industry “smart” initiatives, harnesses a plethora of integrated people, process, and technological elements to drive successful value creating outcomes.
Regardless of the business you have customers and some of them are unhappy. Coping with these customers is an inevitable part of everyday business life and how you deal with them is a predictor of success.
Rube Goldberg is an American cartoonist well known for his illustrations depicting overly elaborate devices designed to accomplish relatively simple functions. These types of devices became widely known as Rube Goldberg machines.
Deep learning software represents a powerful tool in the machine vision toolbox, but one must first understand how the technology works and where it adds value.
In the machine vision marketplace the term “AI” typically refers to deep learning platforms that enable industrial automation and inspection. To appreciate the value proposition of AI in this context, it’s helpful to understand how the technology has evolved over the past several decades.
It is crucial to hit the right color tone in the production process and to produce it homogeneously across numerous batches. Color not only leaves an impression of quality, but can also be used as an indirect variable to control the process.