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.

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.

Regulations could cost the U.S. economy $3.4 trillion.

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

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.

Ensuring stringent medical part quality is challenging, but with the right vision system, manufacturers can utilize powerful technology to help determine that the challenges are being met. 

Measurement devices must be calibrated regularly to ensure they perform their jobs properly. While calibration covers a wide range of applications and scenarios, the goal is simple: ensure your device is measuring to your standards.

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.

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.

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.

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.

Finding new talent can be an extremely difficult process for any organization, in any industry.

Today’s manufactured components are more complex than ever, with more parts diversity, more model year changes and tighter tolerances than ever before.

Where rule-based machine vision has not been attempted or has reached its limits, there is a high potential for deep learning algorithms to support employees and drive forward automation.

Download the ebook, How to Create a Quality Product Roadmap, to learn how to develop a quality plan based on customer-driven metrics and key performance indicators (KPIs) that will help you establish a reputation as a trusted supplier for years to come.

While x-ray inspection of electronics has existed for several decades, the continuous shift in electronics design and manufacturing to smaller, more dense products, is driving x-ray technology forward.

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.

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.

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. 

Quality is a non-negotiable point in manufacturing, especially when it comes to aerospace and defense parts.

This white paper explores how the automation of operations such as quality inspection and metrology – previously reserved for larger companies with hefty budgets – has changed dramatically with the advent of collaborative robots.

Orthopedic implants must function flawlessly even under the most demanding physiological conditions in the human body. Download the white paper here.

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.

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

Connectivity is the key for companies that want to improve quality.