From Manual to Intelligent: Large AI Models Reshaping Industrial Inspection Paradigms_Vol. 3 No. 3 (JIKE 2025)_Journal of Intelligence and Knowledge Engineering (ISSN: 2959-0620)

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From Manual to Intelligent: Large AI Models Reshaping Industrial Inspection Paradigms

DOI: https://doi.org/10.62517/jike.202504308

Author(s)

Fanghui Li1, Jia Li2,3,*

Affiliation(s)

1Machinery Industry Information Research Institute, Beijing, China 2China Electronics Standardization Institute, Beijing, China 3Beijing University of Technology, Beijing, China *Corresponding Author

Abstract

Industrial inspection, a core component of manufacturing quality control, is undergoing a profound transformation driven by artificial intelligence (AI), particularly multimodal large models. The study systematically examines the technological evolution of AI-enabled industrial inspection. It evaluates its contributions to efficiency improvement, accuracy enhancement, cost optimization, and process restructuring from the dual perspectives of “value creation” and “potential risks.” Key challenges related to data security, model reliability, deployment costs, and talent shortages are also identified. On this basis, targeted development strategies are proposed across technological, economic, human resource, and standardization dimensions. The study aims to provide both theoretical support and practical guidance for implementing large AI models in industrial inspection and promoting industrial upgrading.

Keywords

Large AI Models; Industrial Inspection; Technological Paradigm Shift; Implementation Framework

References

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