The convergence of advanced measurement technologies, artificial intelligence, automation and real-time manufacturing data is transforming the role of metrology. Moving beyond traditional inspection, Smart Metrology promises to make quality control an integral, intelligent and increasingly autonomous part of the manufacturing process.
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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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The concept of the software-defined factory is an important part of this evolution. As manufacturing systems become more software-driven, production processes can be configured, monitored and optimised through increasingly connected digital platforms. Measurement and inspection must be part of this architecture, ensuring that decisions made by automated systems and AI-enabled applications are grounded in reliable information about the physical product and the manufacturing process
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As more production data flows from the CMM straight into process control, the humble fixture is becoming one of the biggest sources of measurement risk, and one of the most overlooked.
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With manufacturing moving increasingly toward model-based and connected processes, the ability to maintain the identity of product and quality information across different systems is becoming a critical requirement. Verisurf 2027
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Metrology Brew newsletter features a summary of headline metrology and smart manufacturing news from the past 7 days.
Read Article →
The integration of measurement data, software, connectivity and analytics is transforming metrology from a largely inspection-based discipline into an increasingly connected and predictive element of manufacturing.
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Manufacturers are being asked to produce more parts, to tighter specifications and with fewer skilled people. At the same time, the cost of a manufacturing error is increasing as components become more complex, machines become more expensive and production schedules become less tolerant of delays.
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For decades, industrial metrology has been built around a familiar premise: measure a sample, verify compliance, and assume the rest of production follows suit. Coordinate Measuring Machines (CMMs), hard gauges, and tactile sensors have delivered exceptional precision, but they have also reinforced a workflow constrained by speed. Measuring every component has simply not been practical.
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Artificial intelligence is rapidly changing the role of metrology within manufacturing. What began as the application of AI to individual inspection tasks is evolving into something considerably more significant: measurement systems designed around artificial intelligence, data and increasingly autonomous decision-making.
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