The system runs at line speed and can be deployed faster than traditional vision setups across manufacturing sites.
Siemens and Procter & Gamble (P&G) are expanding the deployment of an AI-based quality inspection system across P&G’s manufacturing operations worldwide. The system inspects products in real time during production, provides inspection coverage at full line speed, and supports more consistent quality. Depending on the product, scrap rates have been reduced by 10 to 20 percent. New deployments can also be commissioned five to ten times faster than traditional custom vision systems.
The Visual Inspection Cockpit (VIC) is used in high-speed consumer goods manufacturing, where products are made from delicate, textured materials that can shift, stretch, or wrinkle at production speeds. Traditional vision systems often require significant reconfiguration when materials, packaging designs, or production environments change. By using Industrial AI, VIC can adapt to these variations and maintain inspection performance across a wide 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 provides the industrial computing infrastructure, software scaling capabilities, and support for ongoing operation of the system across production sites.
Inspection results are processed near the production equipment on Siemens’ Industrial Edge and integrated 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 more information, visit siemens.com.
