Items Tagged with 'machine learning'

No two eggs are identical, yet all are edible. This principle applies equally to industrial manufacturing: the diversity of produced parts and potential defects is virtually limitless. The added challenge for quality assurance and identification tasks?

For decades, the metals testing industry has relied on extensometers to measure material deformation and ensure product quality.

In 2026, quality manufacturing will focus on statistical process control (SPC) and on integrating AI and machine learning. However, outside of this industry hype, there is a focus on practical and sustainable progress.

Central to the system’s success was Theia’s ML610M 2/3″ format varifocal lens, designed for a 1.55 µm pixel size to resolve detail up to 300 line pairs per millimeter contrast.

Explore some introductory, practical considerations on how to bring a visual AI to routine manual visual inspection.

Hexicurity in Boerne, Texas, provides high-security access integration solutions for doors, turnstiles, and elevators. The company manufactures wire crimps for its TransVerify System, with around 100 crimps needed per system. Hexicurity has encountered ongoing challenges with wire crimping quality.

While computed tomography (CT) has garnered attention for its volumetric imaging capabilities, 2D DR remains a faster and more cost-effective option for many production environments. As component complexity and production volumes grow, DR systems with automated image processing provide an effective and efficient solution for quality assurance workflows.

In a joint Assembly/Quality podcast, Jennifer Pierce, multimedia editor with Assembly Magazine and the host of Assembly Audible, and Michelle Bangert, managing editor of Quality, explore an area where assembly and quality intersect: machine vision, with David Dechow, founder and owner of Machine Vision Source.

Manufacturing has long been crucial to innovation; however, a new technological revolution, driven by artificial intelligence and data solutions, is reshaping the industry.

Manufacturing has evolved significantly with intelligent machines like robotics and automation working with humans. AI and predictive analytics help reduce equipment failures and optimize systems in real time, marking a major shift in traditional manufacturing practices toward a smarter future.