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. 

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.

How you can identify opportunities for AI in your machine vision applications.

Machine vision system developers must consider data bandwidth, cable length, and other factors when choosing a camera interface.

When RYE explored ways to improve the accuracy, integrity and throughput of its precision measurement data, the decision to deploy DataSure® 4.0, the industry’s latest data acquisition solution developed by The L.S. Starrett Co. of Athol, MA, boiled down to — you guessed it – seconds.

How has Miltera Machining Research Corp. become an industry-leading producer of prototype and high-tech, ultra-precision parts? The company chalks up a large part of its success to its enduring relationship with ZEISS Industrial Quality Solutions.

Even with accessible technology developed to support their growth, the sad truth is that only a few manufacturers have fully explored the power of automation. The majority are still figuring out the best way to get started.

In 2020, seeking to engage and contribute as a new member of the ASQ Board of Directors, I volunteered to participate in a diversity, equity, and inclusion task force.

Most organizations have discovered that their future success hinges on reinventing themselves as a lowest-cost producer. One of the keys is to focus on actions that can impact real costs every day.