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.

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.

Time series analysis enables manufacturers to track quality data, revealing patterns, trends, and anomalies to maintain consistent production standards. This method can be applied to daily production output or hourly quality measurements.

Compression testing is key in materials science for evaluating how materials respond to compressive loads. It helps determine mechanical properties like stiffness, strength, and fatigue life. This overview covers the testing process, material properties, standards, applications, challenges, and best practices.

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 solar cells that have a conversion efficiency of 21 percent.

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

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.

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.

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.

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.

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.

OCR is a challenging field in image processing. The industry aims to improve accuracy and reliability, but what are the key factors in choosing an OCR system?

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.

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.

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.

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.

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. 

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.

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.

Nondestructive testing of large components can be time consuming and requires several people to work quickly to minimize the impact of testing on the large component manufacturing process.

The thermal properties of polymeric materials are important to the function of components and assemblies that will operate in cold or warm environments.

Flexural strength testing has become increasingly important for plastics—especially composite and carbon fiber-reinforced plastics—as structural parts in the aerospace industry are made from these newer materials.

Regular tensile testing is important for checking rigid plastics through the entire manufacturing cycle, from the raw material to the forming process and ultimately the production part.

Pick up a material analysis data sheet and you’ll always find tensile testing, and probably flexural testing as well. But depending on the application, don’t hold your breath looking for compressive testing.

Carbon fiber reinforced plastics, or CFRPs, are found throughout the aerospace and automotive industries, as well as in high-performance sporting goods, due to their light-weight, high-strength properties.