Torque testing raises unique challenges, and here we highlight varied examples in sectors where health and safety are paramount.

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.

AI is revolutionizing quality control in manufacturing, driving us into Industry 4.0 and beyond. Manufacturers can streamline processes, boost efficiency, and deliver top-notch products globally. Embracing AI isn't just advantageous; it's essential for thriving in today's economy. Businesses must invest in AI to empower their workforce and stay ahead in the rapidly evolving manufacturing landscape.

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.

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. 

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

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.

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.

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.

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.

Solar has held AS and ISO quality management systems registration certificates since 2001.

Olympus now distributes Creaform’s Pipecheck Analyze software.

Women make up nearly one-third of the manufacturing industry workforce today.

The concern was so much of a significance that a PWR plant in Kansas wanted to assess the issue with the measurement of several of its pipe runs.

Do I need a 3D CT volume with the highest resolution for a detailed analysis, or is a fast overview scan sufficient to define the regions from which I want to make additional high-resolution detail scans?

Base salaries in the U.S. grew 0.7 percent from 2013 to $104,722 in calendar year 2014.

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

U.S. House vote is a step toward closing the skills gap.

The event will focus on the industrial applications of AM for making functional components and end-use production parts. Attendees will gain practical knowledge on AM adoption and implementation and can network with AM industry leaders.

July PPC meeting at the CMSC Conference concludes last phase of Roadmap project.

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

Simple changes to how you use color measurement technology and the right training can significantly impact quality control and your bottom line. Here are seven questions every quality control manager should be asking.

SHE requirements are standards and practices to ensure the safety and health of employees, clients, and the public, and to protect the environment. They arise from legal regulations, industry standards, and best practices to minimize occupational hazards and environmental impacts.

Thomas Jefferson and MMA Fighter Jon Jones both emphasized the link between risk and reward, but it's debatable whether Jefferson meant to imply a direct correlation.

Accurate assessments of military and defense assets, especially ballistics, are crucial for battlefield success. Advanced CT X-ray nondestructive testing (NDT) and robotic systems integration have revolutionized inspections, enhancing quality control and safety.

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.

Additive manufacturing (AM), or 3D printing, is crucial for producing complex, accurate parts with minimal waste. Ensuring the quality of raw materials and finished metal parts is essential for its success. This paper emphasizes the need for compositional analysis and strict quality control in AM.

Mitutoyo America Corporation announces the latest version of the versatile Quick Image series 2-D vision measuring system.

Verisurf’s New Inspection Planner Suite lets users quickly and easily create and execute inspection plans for arms, trackers, scanners, and manual CMMs, including executing proven inspection plans on CNC CMMs.

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

Lucid Vision Labs, Inc., is set to introduce the first member of its intelligent vision camera family, the Triton® Smart featuring Sony’s IMX501 intelligent vision sensor with AI processing.

Teledyne FLIR IIS introduced the Forge®️ 1GigE SWIR (Short Wave Infrared) 1.3 MP camera.

Optical Gaging Products (OGP®) announced the next evolution of SmartScope® 3D Multisensor Metrology systems: SmartScope M-Series.

Paul N. Gardner USA (Gardco) announced two new custom Gardco mobile apps to enhance efficiency and precision, the Gardco Viscosity Calculator App and the Gardco Psychrometric Calculator App.