Metrology News, the world’s leading online platform for manufacturing metrology, is proud to announce the launch of its new dedicated Chinese-language website — MetrologyNews.cn.
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Metrology Brew newsletter features a summary of headline metrology and smart manufacturing news from the past 7 days.
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For decades, quality control was the final checkpoint of manufacturinga – line of defense between production and the customer. It was a discipline built around inspection reports, go/no-go gauges, and the belief that catching errors was the best way to ensure quality. But in today’s digital, data-driven manufacturing environment, that paradigm is shifting dramatically. Quality control is no longer an endpoint – it’s becoming the engine room of manufacturing intelligence.
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Traditional industrial robots – articulated arms, gantries, and cobots – already perform vital roles in automated measurement, part handling, and inspection. However, their design constraints often limit their ability to operate flexibly in unstructured environments or to handle tools and equipment designed for humans.
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Automated and networked machines, digitalized process chains and autonomous transport systems: The industry trends at the EMO Hannover 2025 almost give the impression that humans are no longer needed in production facilities.
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In industrial and research settings, accurate 6D object pose estimation, determining the position and orientation of objects in three dimensions, is a cornerstone for automated inspection, assembly, and manipulation. Traditional machine vision systems provide good accuracy under ideal conditions, but performance often deteriorates when objects are partially occluded, reflective, or manipulated by a robot hand.
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Coordinate measuring machines and measurement software from different manufacturers are increasingly speaking the same language. This is made possible by the 2024 extension of the I++ DME (Inspection Plus Plus Dimensional Measurement Equipment) standard interface, version 2.5.
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Industrial inspection is under more pressure than ever. Manufacturers across aerospace, automotive, medical, and energy sectors are expected to deliver flawless products while reducing cycle times and production costs. Traditional inspection methods, though precise, often struggle to keep pace with the speed of modern production lines.
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World Robot Conference 2025 (WRC), recently hosted in Beijing, China, showcased the global momentum driving intelligent automation into the heart of next-generation manufacturing.
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More than just a sophisticated 3D model, a digital twin is a dynamic, data-rich virtual representation of a physical product, process, or system. It continuously updates and evolves by integrating real-time data from the shop floor. As advanced manufacturing pushes toward zero-defect production and tighter tolerances, digital twins are set to become a cornerstone of quality control (QC) strategies.
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