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

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.

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.

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. 

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

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.

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

Download the whitepaper to learn how Business Intelligence can be the catalyst to help your organization rebound and excel on quality during the second half of 2020.

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.

The Thermo Scientific™ Niton™ Apollo™ handheld LIBS analyzer gives users confidence when engaging in Quality Control (QC) and Positive Material Identification (PMI).

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

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.

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.

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.

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.

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

Power-Gen focuses on all forms of power generation and brings together key suppliers and service providers with decision makers in the international power generation sector.

The U.S. Department of Energy (DOE) announced the latest cohorts in its Lab-Embedded Entrepreneurship Program (LEEP).

This show hosted the highest number of exhibiting companies ever (2,407). After move in, the building was 76 million pounds heavier.

Success of the industry again produces record numbers for VISION 2018.

Overall Equipment Effectiveness (OEE) continues to gain in popularity as manufacturing teams seek to quantify plant and machine-level performance to find ways each area can be improved and keep production lines running at peak efficiency.

Discover the secrets behind X-ray CT system design and learn how rapid scanning can revolutionize production quality control. Uncover hidden internal voids, inclusions, and defects in molded and die-casted products—all without a single destructive test.

Lithium-ion (Li-ion) batteries power many of our daily devices. However, manufacturing them requires scarce base metals and has supply and sustainability challenges. Battery recycling is vital for the supply chain. This article discusses using analytical technologies to maximize Li-ion materials and optimize production.

Eddy current inspection is one of the five main non-destructive testing (NDT) methods in the industry, alongside liquid penetrant, magnetic particle, ultrasonic, and radiographic testing. Due to its complex theoretical basis, it is the least used and hardest to understand.

When the materials testing application calls for up to 3,000 kN of hydraulic force applied by advanced digital control, Tinius Olsen offers its all-new SL series, replacing the company’s Super L series.

ElektroPhysik’s SmarTest App (available at Google Play Store) combines with ElektroPhysik’s new wireless SmarTest digital SIDSP sensors to create its new coating thickness testing platform.

ABB has launched its new OmniVance™ Collaborative Machine Tending Cell, providing a complete integrated solution for automated machine tending that is easy to program, install and use.

Mahr Inc. announced a new solution for contour measurement.

MaxxVision GmbH presents two new CoaxPress high-performance cameras from the Canadian manufacturer IO Industries.

The GBX 10 Gigabit Ethernet Module provides safe and reliable data transmission for advanced automation.