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Metrology and Quality News – Online Magazine

Featured Stories

Electrifying Quality: Advanced Metrology and Process Control in Porsche’s Smart Battery Shop

For the new generation of the Cayenne, Porsche is using high-voltage batteries developed and manufactured entirely in-house. In doing so, the sports car manufacturer is continuing to expand its own battery expertise in a focused manner and deepening its technological expertise in the field of electromobility while also laying the foundation for maximum performance, efficiency and quality – made in Europe.

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Redefining In-Line Inspection for High-Volume Manufacturing

Traditional quality control methods are becoming outdated due to inefficiencies, reliance on manual labor, subjective assessments, tooling obstructions, and human error.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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Generating Value from Data and AI

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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Weaving the Digital Thread – The Interoperability Standards Powering Smart Manufacturing

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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AI Moves into the Control Loop – ABB Integrates Deep Learning Vision with Machine Automation

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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