Software vendors are focusing on three trends to distinguish their offerings and better serve their customers.

A Q&A with Reed Switch Developments Corp. president Debra Dahlin, and Engineering and QA Manager, Jeff Rosenbaum, to talk more about its holistic approach to quality.

The evolution of machine vision lenses now incorporates AI and ML to provide superior object recognition and defect detection.

For quality assurance purposes and to optimize the manufacturing workflow, machine vision is employed throughout the entire process to identify production errors, damage, or impurities early on.

We sat down with Carole Franklin, director of standards development at A3, to talk about the importance of safety standards for robot systems and the different requirements needed to ensure safe deployments.

Michelle Bangert, managing editor for Quality spoke with Toni Bailey about how training has evolved. She explains how people learn by doing, why assuming that people have computer skills might not be correct, and why managers might need training on training.

Today companies record process trends digitally. However, analysis is still conducted in much the same way, with operations staff manually identifying trends. Enter artificial intelligence (AI) and machine learning.

No matter the industry or application, all machine vision systems require light – whether visible or non-visible – to capture images. High quality output relies on high quality images, which require adequate lighting.

Industry leaders are now seeking ways to simplify processes, cut costs, and get more done with fewer people. Fortunately, the tools and technologies required to accomplish these goals are already here.

One of the more frequent questions we receive is: I am tapping a ¼-20 UNC 2B internal thread with an “H13” tap, what gage do I need to inspect the threaded holes in my parts after tapping?