Invention and innovation are the lifeblood of family-owned and family-run TARUS, the only U.S.-based manufacturer of clay milling machines for vehicle design. In 1984, the Michigan-based company completely changed the
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Nikon Corporation has announced that its NEXIV VMF-K Series high-performance video measuring system has been honoured with the Red Dot Award: Product Design 2025, one of the most internationally recognised seals of quality for outstanding product design.
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What operator has never dreamed of one day being able to use dimensional measuring equipment, regardless of the brand, as easily as using a smartphone. This is what Découpe H2O discovered when adopting the PolyWorks® to modernize their dimensional control systems.
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A world-leading Swiss research institution, renowned for its pioneering work in X-ray-based materials characterization, has taken a major leap forward in its inspection capabilities. Already operating three computed tomography (CT) systems, the organization sought a new solution that could overcome the limitations of traditional imaging technologies – pushing the frontiers of resolution, speed, and flexibility in non-destructive evaluation (NDE).
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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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The Gehring Inspection System (GIS) has been developed to provide manufacturers with a flexible, automated, and highly precise measurement solution that supports modern production environments.
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SICK has launched the new OD200, a compact laser distance sensor for measuring short ranges that sets new standards in this sensor class with its outstanding stability on highly reflective, dark and irregular surfaces.
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Consistently high quality is an absolute must in automotive production. To ensure that welded connections in body shells meet these standards, DGH Group has developed an application that automatically inspects them and identifies anomalies.
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Cognitive automation is emerging as one of the most significant enablers of smart manufacturing. By combining artificial intelligence, machine learning, and computer vision with traditional automation, it goes beyond executing repetitive tasks to make decisions, adapt to changing conditions, and continuously learn from data.
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Manufacturers are increasingly embracing a ‘shift-left’ approach, moving verification, validation, and risk mitigation earlier in the product lifecycle. This philosophy, originally born in software engineering, is now becoming a central pillar of Smart Manufacturing.
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