Real-Time Statistical Process Control and Root Cause Intelligence: AI-Driven Quality Assurance Systems for U.S. Manufacturing Revitalisation

Authors

  • Maria Fox Professor of Computer Science, King's College London

Keywords:

real-time statistical process control, root cause intelligence, quality assurance systems, u.s. manufacturing revitalisation, machine learning

Abstract

Laying the groundwork for understanding AI-driven quality control systems focuses on the fundamental concepts of machine learning and deep learning. There are different types of traditional machine learning models, and two successful vision-based quality control inspection systems are presented as representative examples of moving toward AI-driven systems.

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Published

31-12-2025

How to Cite

[1]
“Real-Time Statistical Process Control and Root Cause Intelligence: AI-Driven Quality Assurance Systems for U.S. Manufacturing Revitalisation”, Human-Computer Interaction Persp., vol. 5, no. 2, pp. 42–49, Dec. 2025, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/hcip/article/view/814