AI transforms discrete measurements into a continuous digital thread connecting design, manufacturing, and inspection. Instead of isolated inspection reports, manufacturers can create a longitudinal record tying individual parts to process conditions, inspection outcomes, and corrective actions.
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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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Please submit your metrology product news along with other relevant materials at least 7 days before the start of each month for inclusion consideration in the editorial articles on the editorial subjects.
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3D scanning technologies have reshaped the landscape of reverse engineering and dimensional inspection over the past two decades. What was once a niche capability confined to specialized labs has evolved into an indispensable toolset spanning industries from aerospace to medical devices, from automotive design studios to high-volume manufacturing lines.
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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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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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