Medical manufacturers were early adopters of AM to develop patient specific parts with complex geometries at low volume. As AM technology develops, more medical manufacturers are considering how they can now implement it into mass manufacturing.
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Thanks to compatibility with both tactile and optical measurement systems, modular clamping solutions offer a flexible approach that engineers can adapt to various metrology tasks.
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By using the ZEISS PiWeb software, Volkswagen has achieved a significantly faster generation of measuring reports. However, this is just the beginning. The software enables the Group to establish disruptive business models – from fully automated reporting processes to the vision of a 100% virtual verification and functional analysis of assembly parts for launching a new series.
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If InnovMetric, maker of the PolyWorks smart 3D metrology digital ecosystem, is now recognized as an organization of international standing with a list of distinctions to its name, it is thanks to the perseverance and dedication of its co-founders, Marc Soucy and Esther Bouliane, as well as its hundreds of hardworking employees.
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As the demands of modern manufacturing grow more complex and manufacturing industries continue their digital transformation, the place of metrology is undergoing a fundamental shift as traditional approaches to quality control are being upended.
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Metrology has always been at the core of precision manufacturing. As Industry 4.0 advances, generative AI transforms metrology by introducing dynamic data analytics tools that improve measurement accuracy, refine quality control, and meet the growing complexity of modern manufacturing demands.
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As the world leader in crash test dummies, new designs with more high-tech features are appearing daily. PolyWorks|Inspector helps Humanetics share information and stay ahead of the curve.
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Researchers have developed a faster and more accurate method for acquiring and reconstructing high-quality 3D surface measurements. The approach could greatly improve the speed and accuracy of surface measurements used for industrial inspection, medical applications, and robotic vision.
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Digital transformation in manufacturing integrates all areas of the business with advanced technologies, thus fundamentally changing how manufacturers work and add value for their customers.
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The use of AI in the manufacturing process for predictive decision-making is still in its infancy. As these technologies become more advanced, we will continue to see greater adoption of AI across manufacturing operations, not only predicting the likelihood of a product or part failing, but also to predict supply chain issues
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