AutoAlign Unveils "Visor", the AI Assistant Revolutionizing Industrial Operations, at Hannover Messe in Germany
AutoAlign, a leading partner of Nvidia, announces the launch of Visor, its cutting-edge AI assistant for industrial applications, unveiled today at Hannover Messe. Visor is designed to enhance operational efficiency, safety, and productivity across industries by providing hands-free, real-time assistance through workers’ safety glasses or mobile devices.
Embracing the Future: Key Trends Shaping Metrology
As industries continue to push boundaries in manufacturing and technology, metrology—the science of measurement—has become a cornerstone of innovation. The need for precision and efficiency has never been greater, and metrology is evolving to meet these demands.
How Generative AI Could Revolutionize Manufacturing Quality Functions
Within the manufacturing enterprise there is no more paper-intensive area than the quality function. The very nature of inspection and verification requires the evaluation of paperwork and the documentation of observed results.
AI in Manufacturing: Reshaping Quality Control and Efficiency
Every manufacturer knows the pain of unplanned downtime: the grinding halt of production, the scramble to identify the problem and the hours—or days—lost.
Customers Favor AI-Based Technologies but Automakers May Not Have Best Advanced Tech Strategy, J.D. Power Finds
Are vehicle owners becoming overwhelmed with technology features that don’t solve a problem, don’t work, are difficult to use or are just too limited in functionality?
AI in Manufacturing: Reshaping Quality Control and Efficiency
AI is profoundly reshaping manufacturing, enabling businesses to achieve higher quality standards, greater operational efficiency and more imaginative resource utilization.
How Closed Loop Quality and AI-Driven Machine Vision are Transforming Manufacturing
Unlike traditional quality control methods, closed loop systems enable real-time adjustments and proactive problem-solving.
The Future of Manufacturing: Navigating the Impact of Artificial Intelligence
We will explore quality trends in manufacturing and provide guidance on how to prepare for the changes ahead.
Case Studies of AI for Superhuman Quality Control in Electronics
The question is not whether manufacturers should adopt AI, but how quickly they can start reaping its benefits.
Shaping the Future: AI’s Future Role In 3D Scanning
In the following article executives from 3D scanning company Artec3D provide their respective visions for the evolving use of AI in 3D scanning workflows.
Will 2025 Be the Year You Invest in AI?
Artificial intelligence been a buzzword for years, but it looks like this tool may be arriving at your location soon. That is, if you’re not already using it.
Toyota is deploying AI agents to harness the collective wisdom of engineers and innovate faster
Cars are going through some of the most rapid engineering shifts in their 100-year history, putting intense pressure on global automakers to innovate more quickly.
How AI Is Helping Bridge Skill Gaps In Manufacturing
This project at thyssenkrupp is part of an effort to use the power of AI to compensate for a shortage of skilled workers in manufacturing in Germany, Europe and many other countries, including the United States.
The Rise of Industry 4.0 and its Impact on Metrology
As smart factories have grown to embrace more advanced technologies such as AI, machine learning, and smart sensors, they’ve also evolved to include more developed forms of metrology.
How AI is Addressing Vital Challenges Across the Metrology Value Chain
We’re just beginning to harness deep learning and AI to drive improvements in metrology and quality control, productivity, and competitiveness.
ETQ AI-Based Predictive Quality Analytics Solution
ETQ, part of Hexagon, launched the ETQ Reliance® Predictive Quality Analytics solution, bringing a new level of artificial intelligence (AI)-driven analytics to its ETQ quality management system (QMS). The solution enables automated, early detection and proactive resolution to prevent manufacturing problems, limit production variation, speed decision making, deliver prescriptive solutions to supply chain issues and boost overall delivered quality.
Transforming Quality Assurance with AI:Strategies for a Smarter Future
INTEGRATING AI INTO QUALITY CONTROL PROCESSES REQUIRES A THOUGHTFUL APPROACH THAT GOES BEYOND MERE TECHNOLOGY ADOPTION. HERE ARE SOME PROVEN STRATEGIES TO ENSURE SUCCESSFUL AI EMPOWERMENT IN QUALITY CONTROL.