As manufacturing continues to demand higher precision and greater flexibility, the limits of single-technology measurement systems are becoming increasingly apparent. Today’s components often combine complex external geometries with features that require deeper, point-based verification.
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Traditional quality control methods are becoming outdated due to inefficiencies, reliance on manual labor, subjective assessments, tooling obstructions, and human error. In additive manufacturing, the challenges of complex geometries, tight tolerances, and scalability demands make quality control even more difficult. AM-Flow aims to solve this with fully automated, lights-out production powered by cutting-edge technology.
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Artificial intelligence (AI) has become indispensable in many companies. Examples such as AI agents, early defect detection in manufacturing, or logistics process optimization show that AI is already being used across a wide range of business functions. Although AI is increasingly recognized as a key technology, sustainable value creation remains elusive in many organizations.
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For decades, manufacturing has generated enormous volumes of data, yet much of it has lived a quiet life in databases, reports, and archived quality records. Measurement results were stored for traceability. Machines logged process parameters. ERP and MES platforms tracked orders and output. But these streams rarely converged in a way that allowed production to adapt in real time.
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As manufacturing continues its shift toward digital transformation, the concept of the digital thread has become central to initiatives around smart manufacturing, Industry 4.0, and data-driven quality. The digital thread represents the seamless flow of information across the product lifecycle — from design and engineering through manufacturing, inspection, and ongoing improvement.
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ABB has announced what it describes as a first for industrial automation: the seamless integration of AI-based machine vision directly into the machine control system. By embedding deep learning capabilities into its automation architecture, the company, through its machine and factory automation division B&R, has enabled vision data to feed advanced, real-time machine control loops.
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Aligning metrology with production flow turns inspection into a source of value. By deploying shop floor measurement systems that are fast, reliable, and tightly integrated with CNC controllers, manufacturers can meet takt time commitments while improving capability and reducing scrap.
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Network RTK via NTRIP provides the georeferencing backbone for reality capture
workflows in refineries, power plants, and large scale manufacturing facilities
Measuring the world around us has evolved from simple hand tools to sophisticated optical 3D technology. Whether it is documenting a delicate museum artifact or ensuring an engine component is built to within a few microns of its design, modern metrology relies on structural light scanners like those developed by SMARTTECH3D.
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In order to detect such sources of error at an early stage and keep processes stable, measurement engineers use a method that at first glance has more to do with mathematics than with metal – Fourier Analysis.
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