Sciemetric's Manufacturing IT Manager, Patrick Chabot shares insights on how manufacturers can make better use of their machine vision data in this article by IMV (Imaging and Machine Vision) Europe.
There are some instances where an acceptable leak rate is so small as to be practically zero. Few air leak test methods, such as pressure decay, have the necessary detection range. These situations call for a trace gas-based test method. Learn more in this article in Quality Magazine, written by Cincinnati Test Systems' Systems Engineer, Peter Bonyhati.
Cross-process analysis of images, image data and other process data improves quality, process control, and enables continuous process improvements. Learn more in this article in Vision Systems Design, by Sciemetric's Manufacturing IT Manager, Patrick Chabot.
Even on a modern manufacturing line equipped to collect and analyze process data, something can always slip through the cracks to derail quality and efficiency. This is only to be expected. But what if a key assembly process still rests entirely with a human being manually completing a task? There is no obvious data trail, no process monitoring in real-time. What then? In this article, Sciemetric's Manufacturing IT Manager, Patrick Chabot discusses the importance of having a strategy for continuous improvement on the line.
Industry 4.0 technologies are not merely nice to have. Business pressures are forcing these kinds of investments for many manufacturers. ROI can be rapid when you consider the cumulative cost of downtime, warranty claims, and scrap and rework that can be avoided with the right technology investment. Learn how Sciemetric helps manufacturers embrace Industry 4.0 in this article by Sciemetric's Aaron Alberts for the Smart Industry Forum.
Rob Plumridge, Sciemetric leak application engineer, discusses best practices for leak testing e-vehicle batteries and how the 3520 Series Leak Test can be used for this purpose, with Assembly Magazine.
In this feature published by Automation Magazine, Dave Mannila, senior product manager at Sciemetric, talks about how manufacturers can and should use their production data for greater visibility into production processes – to reduce cycle times, control costs and improve productivity across the plant. With today’s tools, a modest investment can generate an ROI in a matter of months and yield millions in annual savings.
In this feature published by Machine Design Magazine, Derek Kuhn, Sciemetric’s senior vice-president, argues why machine builders can’t ignore the growing use of process data by manufacturers to drive quality assurance, greater automation, efficiency and profitability. Manufacturers want this intelligence incorporated into a line as it is being built, rather than incur the time and expense of procuring equipment, hardware, and software from different vendors and trying to integrate it all together.
Whether you’re a machine shop, a job shop, or a contract manufacturer in the supply chain of a major OEM, your success today rests with how machine vision data comes together with all the rest of your production data. In this article, Sciemetric's Manufacturing IT Manager, Patrick Chabot discusses how to be more competitive and break machine vision out of its silo.
Today’s Motor Vehicles editor Rob Schoenberger talks with Mathew Daniel, Sciemetric’s VP of Operations, about the network architecture and best practices manufacturers must adopt to make more effective use of their machine vision images and data to drive quality and contain defects.