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

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.

VICTOR, NY—New Scale Robotics has been named an authorized systems integrator (ASI) for FANUC America Corp., enabling the company to more effectively use its Q-Span automated gauging technology in conjunction with FANUC’s collaborative robots.

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.

In March 2013, Lululemon, a billion-dollar Canadian athletic apparel company, made headlines after the media got wind of an unusual story. The Vancouver-based company recalled its popular black yoga pants after customers complained that the active wear was too sheer.

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.

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 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.

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

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

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

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.

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.

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.

Discovering, evolving, and sometimes unsettling, artificial intelligence mirrors our human learning. Yet, as it integrates further, questions arise: Can it handle quality assurance? What's in the future? And crucially, how much control are we comfortable relinquishing to it?

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.

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.

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.

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.

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. 

The survival requirements of a part identification mark is an essential function to determine what marking system or method is best used.

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.

In manufacturing, the slightest deviation can have significant repercussions. This guide presents solutions, in the form of best practices, that will help quality and production managers solve their productivity issues and implement near-line and in-line automated dimensional inspections.

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

For fast measurements of displacement, distance and position with high accuracy and resolution, laser triangulation sensors can be used in a variety of applications. The reasons are wear-free measurement, a large measuring range, high precision and easy installation.

SMAC electric gage actuators provide gaging solutions with consistent, fast and precise control of the process.

Starrett is offering a comprehensive white paper that discusses why traditional approaches to measurement data collection are inefficient and error-prone without the ability to support IoT/ Industry 4.0. 

High temperatures in industrial settings are a leading cause of downtime. Controlling units and microprocessors age quickly under heat pressure, which means that generated heat must be removed efficiently or heat damage will occur.

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. 

To help quality professionals understand how their processes and approaches compare to those of other companies and the future outlook, ENGINE interviewed quality and environmental health and safety (EHS) professionals to develop the present "2021 Quality Management Trends Report," commissioned by Veeva.