Consumer goods giant Procter & Gamble and industrial technology company Siemens announced the expansion of the deployment of an AI-based quality inspection solution across P&G’s manufacturing operations worldwide.
The system inspects products in real time during production, delivers comprehensive inspection coverage at full line speed, and helps improve quality consistency. Depending on the product, scrap rates have been reduced by 10% to 20%, according to Siemens.
The new deployments can also be commissioned five to 10 times faster than traditional bespoke vision systems.
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.
VIC was jointly developed by Siemens and P&G and 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.
Inspection results are processed close to the production equipment on 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.
