Manufacturers can unearth valuable insights from test data from various sources by employing statistical algorithms and machine learning to establish patterns and predict future outcomes and trends.

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.

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.

A great deal of life advice from a great many people suggests that focus should be placed on the positive while dismissing the negative.

Cloud based quality software has numerous benefits for manufacturers with disparate production facilities and locations. Organizations with the following characteristics stand to especially benefit from a centralized system.

One of the segments likely to face the greatest challenges in 2022 are automotive plastics manufacturers who will continue to face shortages of the raw materials, composites and resins required for both interior and exterior vehicle parts. 

Engaging an audience on the technical aspects of quality work can be a challenge: inspection, audits, and measurement systems analysis are hardly the stuff of a lecture that you will find gripping and inspirational.

A contemporary approach to statistical process control (SPC)—using real-time quality data—can help manufacturers reduce scrap, comply with regulations and standards, and meet customer requirements.

There are four common reasons why manufacturers should use smart vision acceleration.