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

UTM is versatile and cost-effective, evaluating physical properties while adhering to industry standards. They test durability and establish load thresholds for functionality, safety during use, and minimum loads for usability, improving the quality of the final product.

In the competitive electric vehicle (EV) industry, perfecting the battery tray's aluminum weld design is critical. It houses essential components and safety ensuring precise integration is crucial to prevent potential hazards such as torsion-induced bending of both the battery tray and the vehicle body due to thermal expansion of battery cells.

Real-time data acquisition prevents defective parts at an auto parts manufacturer.

AI-based vision system ensures that relays and other components are installed correctly.

AI helps automated inspection system detect minute defects despite natural variation in the parts.

Catheters are used for various medical procedures, including addressing issues in a person's arterial network and urological conditions. They also deliver medical devices and treat conditions such as clogged arteries and irregular heartbeats. Testing for catheters includes tensile testing, lubricity testing, and usability/trackability testing.

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.

Phenna Group has appointed Jon Harrison as the Group Head of Corporate Development.

Selecting the correct phased array ultrasonic testing (PAUT) probe is critical for accurate inspections. This guide provides practical advice to help you make well-informed decisions and ensure optimal results.

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.

EVs could represent 45 to 58 percent of all vehicles by 2030, with the lithium-ion battery market expected to grow over 30 percent annually. The question is whether battery quality can keep up with this surge.

Materials are designed to withstand the environment and stress to which they will be subjected. The properties of a material or component involve not only the elemental composition but manufacturing processes such as heat treatment and machining processes.

Though FaciliWorks CMMS is already used by hundreds of Mexican companies, there is still an enormous number of potential clients who are in need of a system like FaciliWorks.

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 Association for Manufacturing Excellence (AME) is pleased to present its Innovation Summit in Irvine, CA, March 13-14. Leading industry innovators and longtime lean and innovation advocates will converge at the Irvine Marriot to share exclusive insider knowledge with attendees.

The conference theme is "Strategic Success Through People-Powered Excellence."

Eclipse Automation is offering employees bicycles to promote environmental impact awareness.

Since 2012, Dr. Fübi has served as CEO for RWE Technology.

Manufacturers add three to policy and government relations division, member and board relations adds one.

Company to reduce carbon footprint 25% by 2025, launch STEM scholarship program.

Tariq Masud sat down with Quality to explain why this topic is so important. He will be presenting at The Quality Show on Tuesday, October 24.

Learn how design controls can help quality managers assess medical devices.

How LVHN used Lean Six Sigma tools and Minitab statistical analysis to achieve improvements in patient-centered care.

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. 

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.

As the industry continues to trend toward a more patient-centric approach, we see an increasing buzz around the development and utilization of wearable injectors, also known as on-body delivery systems (OBDS)—the next evolution in needle-based drug delivery products.

Automating testing and inspection requires careful consideration of tools, including robot type, end-of-arm tooling, and ancillary systems. While cobots are popular for quality tasks, their full collaborative capabilities may not be utilized in some applications, leading to higher costs without maximizing benefits.

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.

Reverse engineering is the process of taking apart a product to understand its design and functionality. This knowledge is helpful for creating similar products or improving existing designs.

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.

GigE Vision® sets the standard for high-performance industrial cameras, leveraging Gigabit Ethernet for fast, cost-effective image transfer. Introduced in 2006, it enables the transmission of digital images and video over Ethernet networks up to 100 meters. With version 3.0 on the horizon, GigE Vision remains the top choice for long-distance camera setups, offering unmatched performance and affordability.

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 a world where AI vision technology is setting new quality control standards across industries, machines can now detect even the smallest defects in car parts and ensure that every packaged product meets health standards.

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

Manufacturers face complex challenges, including attracting and retaining labor and adapting to a volatile market. Skilled human labor remains crucial despite advancements in automation.

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.

No robot can replace a person, but they can handle dull, dangerous, or repetitive tasks, freeing up employees for more fulfilling work. Businesses need to embrace robotics to efficiently adapt to production cycles and address supply chain backlogs and labor shortages.

Selecting the correct LED lighting for machine vision can be challenging, even for experienced professionals. While red LEDs are commonly used, blue LEDs can be a superior choice for certain applications.

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.