The integration of automation and AI with metrology is transforming manufacturing by enhancing precision and efficiency. As Stefan Holt from MSI Viking notes, these technologies are redefining manufacturing processes and enabling adherence to stringent quality standards.
An exciting addition to hardness testing is the integration of AI-based indentation evaluation, which enhances the precision and efficiency of hardness mapping.
Hardness testing is essential in material sciences, particularly through hardness mapping, which generates detailed heat maps from thousands of indentations. Enhanced by AI-based evaluation, this method improves accuracy and is widely used in industries like automotive and aerospace. The article discusses the methods and future of AI-driven hardness testing.
Quality Infrastructure (QI) is vital for ensuring quality and safety through metrology, standardization, and accreditation. However, concerns arise about whether the QI has kept pace with these changes.
In a recent article for Quality called, How Generative AI Could Revolutionize Manufacturing Quality Functions, Graney said, “AI - ranging from generative, predictive, and “simple” machine learning - is poised to address the manufacturing challenges by automating data analysis, integrating multiple data sources, and providing real-time insights.
Amid the AI hype, we should ask if we're using it to achieve specific goals or just for the sake of it. The value of AI lies in its real-world application, not just as a buzzword. It's important to stay focused on our objectives and the challenges we aim to solve.
Machine vision is transforming modern manufacturing. Innovations like event-based imaging and AI-driven tools are revolutionizing quality assurance and efficiency. This article examines key trends, highlighting breakthroughs in imaging, industrial streaming cameras, area scan sensors, and intelligent software that set new standards for precision and performance.
As technology advances, a key debate centers on AI versus the human eye in inspection. Both manufacturing and medical sectors are questioning whether AI surpasses human vision or if the human eye still holds an undeniable advantage.
As industries advance, metrology—the science of measurement—becomes essential for innovation. With a growing need for precision and efficiency, the field is evolving to enhance quality control. This summary highlights key trends shaping metrology today.
AI is profoundly reshaping manufacturing, enabling businesses to achieve higher quality standards, greater operational efficiency and more imaginative resource utilization.
AI-powered predictive maintenance helps anticipate machine failures, allowing for proactive action that saves time and costs. According to a Deloitte study, 86% of manufacturing executives believe that AI and intelligent technologies will enhance competitiveness in the next five years.