A new technique called quantum diamond microscopy (QDM), now entering commercial deployment in semiconductor laboratories across the US, Europe, and Asia, offers the industry something it has lacked: direct, non-destructive measurement of electrical current flow inside a fully assembled device.
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For decades, metrology data has existed in fragmented islands across manufacturing enterprises. CMMs, laser scanners, vision systems, SPC software, and ERP platforms have all generated valuable data – but rarely in a unified environment.
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Technologies related to On Machine Inspection are helping manufacturers improve quality control processes by enabling real-time measurement and verification directly during machining operations. Instead of waiting until production is complete to identify issues, manufacturers can now detect inaccuracies much earlier in the process.
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Audi is consistently rolling out artificial intelligence (AI) in production and logistics: the company is scaling up its own cloud platform for production and introducing new AI use cases and technologies for large-scale series production. In doing so, the premium manufacturer is relying on the expertise of strong partners. Decades of manufacturing expertise meet smart digital solutions.
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As manufacturing environments become increasingly digitised, the role of metrology is undergoing a fundamental shift. No longer confined to post-process inspection, measurement is evolving into a real-time, data-driven function at the heart of production.
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China’s automotive industry has undergone a major transformation over the past decade, moving from a focus on high-volume manufacturing to competing at the highest level in terms of engineering precision, design quality, and technological sophistication. A key enabler of this shift has been advanced 3D metrology, which now plays a central role in how vehicles are designed, validated, and manufactured.
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End-of-line inspection works until it doesn’t. It assumes the process is stable enough that you can check results after the fact. That assumption breaks quickly in high-volume environments where small drifts compound over hours, not days.
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Today, point cloud technology is transforming that paradigm. By capturing millions of data points across entire surfaces in seconds, manufacturers can now analyze complete geometries rather than isolated features. This shift from sampling to full-field inspection is redefining how quality is measured, controlled, and improved.
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Physical AI and advanced robotics are rapidly becoming key to modern manufacturing, supply chains, and industrial services as they boost productivity and competitiveness. This transformation is accelerated by breakthroughs in largescale AI models, simulation driven innovation, and powerful compute architectures spanning devices, edge systems, and datacenters.
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While fully autonomous manufacturing remains an aspirational goal, the building blocks are already in place. Production-integrated metrology is a key component of this evolution, enabling the transition from reactive quality assurance to proactive quality control.
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