Computer Vision-Based Defect Classification and Process Deviation Detection: AI-Driven Quality Control Systems for U.S. Defense Manufacturing Revitalisation

Authors

  • Cristina Mateos Professor of Human-Computer Interaction, Universidad Politécnica de Madrid (UPM)

Keywords:

computer vision-based defect classification, process deviation detection, quality control systems, u.s. defense manufacturing revitalisation, machine learning

Abstract

In most of recorded history, the "quality" of goods and services was a function of the experience, care, skill, and expertise of individual craftspeople. The industrial revolution led to the development of less expensive means of manufacturing goods by replacing the highly autonomous person with machinery, tools, and process.

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Published

31-12-2022

How to Cite

[1]
“Computer Vision-Based Defect Classification and Process Deviation Detection: AI-Driven Quality Control Systems for U.S. Defense Manufacturing Revitalisation”, Human-Computer Interaction Persp., vol. 2, no. 2, pp. 67–76, Dec. 2022, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/hcip/article/view/791