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Press Release16 September 2026Siemens AGMunich
Siemens and Procter & Gamble roll out AI-based quality inspection worldwide
The Visual
Inspection Cockpit (VIC) is used in high-speed consumer goods manufacturing,
where products consist of delicate, textured materials that naturally shift,
stretch or wrinkle at high production speeds. Traditional vision systems often
require extensive reconfiguration when materials, packaging designs or
production environments change. By using Industrial AI, VIC can adapt more
effectively to these variations and maintain inspection performance across a
broad range of products.
Developed
jointly by Siemens and P&G, the solution combines P&G’s deep learning
models with Siemens’ Industrial Edge computing platform, industrial PCs powered
by Nvidia GPUs and AI hardware and software. Siemens supports the industrial
computing infrastructure, software scaling capabilities and long-term operation
of the system across production sites.
"Our
Industrial AI and Industrial Edge capabilities deliver what high-speed
production demands: full inspection accuracy for thousands of products per
minute, scalable from a single line to a global footprint. This collaboration
demonstrates what we mean when we say we’re making industrial AI real,"
said Rainer Brehm, COO for automation and CTO at Siemens Digital Industries.
"We
engineered this solution to solve a myriad of industry challenges traditional
vision systems couldn't touch: accurate characterization of overlapping
components, the subtlety of low-contrast defects, the complexity of highly
decorated products and packaging, tight time coordination, real-time PLC
integration with single product reject at high production rates with continuous
inspection," said Paul Thomas, Director of Machine Vision and Applied AI
at Procter & Gamble.
Inspection
results are processed close to the production equipment on Siemens’ Industrial
Edge and integrated directly into manufacturing operations. The system can
automatically trigger actions such as alerts or the removal of defective
products from the production line. Quality data can also be collected and
analyzed over time, helping production teams identify trends and support
continuous improvement efforts.
For this press release
Siemens AG (Berlin and Munich) is a leading technology company focused on industry, infrastructure, mobility, and healthcare. The company’s purpose is to create technology to transform the everyday, for everyone. By combining the real and the digital worlds, Siemens empowers customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more livable, and transportation more sustainable. A leader in industrial AI, Siemens leverages its deep domain know-how to apply AI – including generative AI – to real-world applications, making AI accessible and impactful for customers across diverse industries. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. In fiscal 2025, which ended on September 30, 2025, the Siemens Group generated revenue of €78.9 billion and net income of €10.4 billion. As of September 30, 2025, the company employed around 318,000 people worldwide on the basis of continuing operations. Further information is available on the Internet at www.siemens.com.