AI-based edge-learning streamlines complex battery and EV inspection tasks and separates scrap from suitable.

Traditional measurement methods struggle with complex geometries and modern plastic parts. Advanced vision measuring systems offer advantages for automotive manufacturers, but traditional tools are still preferable in some areas.

In a world grappling with climate change, the push for sustainability has made electric vehicles (EVs) a popular choice. Some states are even phasing out gas engine vehicle sales by 2030/2035. However, considering the total impact of producing and operating EVs reveals a more complex picture.

The integration of 3D scanning and additive manufacturing has opened new possibilities in metrology. Analyzing the technical intricacies of 3D laser scanning hardware and software reveals their pivotal role in shaping engineering's future.

3D printing is a revolutionary technology that enables the creation of intricate and complex designs by adding material layer by layer. The final surface roughness of the printed part is critical to its overall performance and can have a major impact on its functionality.

Artificial intelligence brings a new dimension of precision and efficiency to automated inspection applications.

This article introduces materials testing for metal powder and parts made using metal additive manufacturing. It covers types of testing and their objectives for characterizing printed metal, aimed at non-experts new to metal printing and testing.

For automation-focused companies, Autonomous Process Control (APC) isn’t just a tech advancement—it’s essential for achieving six sigma quality and boosting yields and profitability.

Green manufacturing doesn’t have to involve solar power and wind turbines. It can be turning equipment to a lower setting when not in use, switching the lighting, or even changing a plant’s operating hours in order to save electricity.

The President announced new steps with the private sector to strengthen the manufacturing sector, boost advanced manufacturing, and attract the good paying jobs that a growing middle class requires.

The initiative is designed to accelerate manufacturing nationwide.

Manufacturers of products ranging from military airplanes to lawnmowers all have something in common; each needs to be confident that their product can withstand the environmental conditions that their materials and components might be exposed to.

The solar cells that have a conversion efficiency of 21 percent.

Global capital project and infrastructure spending is expected to reach $9 trillion annually by 2025.

Clean energy gets attention from around the world. In June, the United States, Brazil and China made new commitments to fight climate change.

Due to its ability to nondestructively capture, display and analyze the internal structures of objects in high resolution and three-dimensionally, industrial computed tomography is gaining importance as a precise 3D measuring technology for production in addition to the classic application fields of research and development and failure analysis.

For their dedication to quality, Larsen Manufacturing (Mundelein, IL) has earned our 2022 Quality Plant of the Year award.

What level of quality do you feel is required in orthopedic implants, pacemakers and other critical, life-sustaining medical devices? The highest quality, of course!

We will explore the use of CMMs, advancements in technology, and their growing contribution to support leading developments in automation, artificial intelligence, and machine learning.

Gerresheimer, a manufacturer for the pharma and life science industry, will invest more than $88 million in expanding its manufacturing operations in Peachtree City, creating over 200 new jobs for Fayette County.

Traditional machine vision used rule-based programming for controlled environments but struggled in less controlled settings. Edge learning AI, operating directly on vision systems, enhances machine vision's power and usability, revolutionizing quality assurance and manufacturing processes.

System integration strategies vary by industry and project scale. Success relies on thorough planning and execution, especially in machine vision technology. Here are key integration elements for success with vision technologies.

Labor shortages continue to pressure manufacturers, with some dedicating up to 20% of their workforce to manual inspection. Embracing Quality 4.0 with automated in-line inspections and AI process analytics could provide significant value.

In this article we survey key considerations when making a lens selection. Of course, your lensing professional will be happy to advise – but they’ll ask you some of these questions anyway, so it’s helpful to make notes relative to your planned application.

The famous quote "Adapt or die" applies to businesses like Kodak and Blockbuster, which missed out on opportunities by not embracing new technologies. This concept also applies to industries like manufacturing and logistics today.

Quality spoke with David Dechow of Machine Vision Source following his recent presentation at The Quality Show South about vision solutions for quality applications and integration that drives application success with current and emerging technologies.

In the fast-paced and dynamic world of manufacturing, one trend is clear: short-wave infrared (SWIR) imaging and sensing is revolutionizing the industry.

Industry solutions and products rely on common standards and interfaces, enabling seamless collaboration and increasing efficiency.

Machine vision has evolved significantly over the past forty years, and the demand for specialized solutions has increased in recent years. This article will explore current and future imaging requirements.

The growing use of AI in manufacturing has revolutionized quality control. Traditional inspection methods struggle to keep pace with complex production processes, but AI augments accuracy and efficiency, upholding high-quality standards.

In battery cell production, maintaining high quality and reducing material waste is crucial. Digital image processing and machine vision solutions enable reliable defect detection, ensuring the production of safe, high-quality battery cells for electric mobility.

Machine vision projects often face challenges such as slow progress, difficulty in getting quotes, cost overruns, and unreliable operation. These issues require recognizing and adapting to the unique nature of machine vision projects compared to other types of projects.

Machine vision can measure with greater precision and accuracy than human vision. This series starts by exploring techniques for high-precision measurements in vision systems. The next installments will examine challenges and solutions for maintaining this precision and accuracy. First, we'll clarify key terms related to measurement accuracy.

The first part of this three-part series covered the principles that allow machine vision to make high-accuracy measurements. This second part examines challenges that the measurement environment imposes on machine vision and gives approaches to mitigate the effects and retain much of the high-accuracy capability.

Initially seen as science fiction, machine vision in manufacturing faced hesitance due to high costs and lack of awareness. However, interest has surged, shifting the focus from "Can it be done?" to "How will we do it?" This reflects significant transformative changes in the industry.

The first part of this series covered the basic principles that make high-accuracy measurements possible for machine vision. The second part of the series looked at challenges to accurate measurements due to the application conditions. This third part looks at characteristics and components of the vision system that can limit the achievable accuracy.

As businesses increasingly rely on machine vision to enhance quality, improve productivity, and increase the bottom line, technology providers are relying more on industrial computing solutions that enable faster processing speeds and higher efficiency, or that support new tasks altogether. 

79% of organizations are still managing shop floor quality processes with spreadsheets and paper. But the truth is, to remain competitive and reduce risk across your operations, it's time to modernize your programs and say goodbye to the spreadsheets.

The aerospace industry is known for manufacturing parts with critical dimensions and tight tolerances. Despite the high-demanding inspections they are required to perform, important players in the industry have managed to reduce bottlenecks and detect problems early in the manufacturing process.

Are you a manufacturer researching ways to improve and increase productivity, as your cast parts become more complex?

The latest generation of scanCONTROL 30xx laser scanners is extremely powerful, precise and individually adaptable.  

Today’s manufacturers are under pressure to be more flexible, reduce downtime and costs and increase efficiencies.

Olympus’ high-quality optics help eliminate many outliers before they occur. The quality of the resulting measurement is evident in multiscale analysis down to the finest scales.

Our Introduction to Surface Roughness Measurement guidebook is an excellent initiation to noncontact surface roughness measurement. It offers practical information on various topics to help make roughness measurement easy and efficient.

It is impossible to overestimate the critical nature of keen and constant visual inspection in any production process. That’s why an advanced vision system is vital for any of today’s advanced production lines – as well as for “yesterday’s” older and more issue-prone lines. 

A Nikon Metrology XT H 225 ST computed tomography imaging system at the University of Arkansas is enabling non-destructive, 2D and 3D study of the inside as well as the outside of a wide variety of objects. Download the white paper to read more.

Explore the quality gates for the metal manufacturing process and the plastic manufacturing process in this whitepaper.

Aerospace market, increasing number of oil and gas refineries to fuel growth of eddy current NDT equipment market through 2026.

Product demonstrations and technical presentations on 3D and CT scanning engage audiences in Wisconsin and Ohio.

A question-and-answer period will follow the webinar. A recorded version will be available for later viewing.