Computer Vision for Quality Inspection in Discrete Manufacturing

As Minerva Institute continues its weekly case study series on AI and autonomous systems in industrial control systems and critical infrastructure, our third release focuses on “Computer Vision for Quality Inspection in Discrete Manufacturing.”

Computer vision is rapidly changing how manufacturers detect defects, verify product consistency, reduce waste, and improve throughput across complex production environments. But deploying AI-enabled inspection at scale also raises important questions about data quality, model reliability, cybersecurity, workforce integration, explainability, and operational resilience.

This case study examines how computer vision is being applied in discrete manufacturing, where precision, repeatability, and trust are essential. It also highlights broader lessons for leaders evaluating AI adoption in safety-, quality-, and mission-critical systems.

For manufacturers, technology providers, policymakers, and security professionals, this case offers a timely look at how AI is reshaping industrial operations.

Download the full case study below.

Smart Manufacturing - Case Study no 3_Computer Vision for Quality Inspection in Manufactur.

Download • 323KB