The 9th Annual State of Smart Manufacturing Report reveals that improved quality is the primary outcome respondents hope to achieve from existing smart manufacturing technology. However, many organizations still face internal obstacles that hinder them from fully realizing the benefits of these initiatives. By understanding how smart manufacturing technology can mitigate product quality issues through enhanced inline and final inspection processes, manufacturers can overcome internal barriers, unlock competitive advantage, and drive growth in today's rapidly evolving marketplace.
In Part 2 of our webinar series, Going Beyond the State of Smart Manufacturing, Rockwell Automation's Mithun Nagabhairava, Senior Manager in the Data Science & IoT practice, shares real-world customer case studies. These examples will illustrate how machine vision, artificial intelligence, and AI-driven solutions can elevate your operations and improve both inline and final product quality inspections.
Key Takeaways
- How AI, machine learning, and machine vision are enabling industrial manufacturers to achieve superior levels of product quality previously unattainable.
- Expanded machine vision capabilities supporting process optimization, robotics, safety and regulatory compliance, and predictive maintenance applications
- Real-world case studies demonstrate how these advanced technologies are driving significant value and help achieve competitive advantage in manufacturing.
