Application of AI Image Recognition in Aircraft Maintenance Tool Management

With the rapid development of the aviation industry, the efficiency and accuracy of aircraft maintenance tool management are crucial to ensuring flight safety. This paper explores the application of AI image recognition technology in aircraft maintenance tool management, analyzing the existing problems in current tool management practices. It explains the principles, advantages, and specific applications of AI image recognition technology in various aspects of tool management, including tool identification and localization, borrowing and returning management, and inventory checking. Through practical case analysis, this paper demonstrates the significant effectiveness of the technology in improving management efficiency, reducing error rates, and ensuring flight safety. The future development trends of this technology are also discussed, aiming to introduce more advanced tool management solutions in the aviation industry and promote digital transformation within the industry.

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Publication Details

Published
2025-08-08
DOI
https://doi.org/10.1109/iaeac65194.2025.11166047
Primary Topic
Optimization and Variational Analysis
Type
article
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Application of AI Image Recognition in Aircraft Maintenance Tool Management

Optimization and Variational Analysis
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Application of AI Image Recognition in Aircraft Maintenance Tool Management

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Abstract

With the rapid development of the aviation industry, the efficiency and accuracy of aircraft maintenance tool management are crucial to ensuring flight safety. This paper explores the application of AI image recognition technology in aircraft maintenance tool management, analyzing the existing problems in current tool management practices. It explains the principles, advantages, and specific applications of AI image recognition technology in various aspects of tool management, including tool identification and localization, borrowing and returning management, and inventory checking. Through practical case analysis, this paper demonstrates the significant effectiveness of the technology in improving management efficiency, reducing error rates, and ensuring flight safety. The future development trends of this technology are also discussed, aiming to introduce more advanced tool management solutions in the aviation industry and promote digital transformation within the industry.

Shanghai Civil Aviation College (CN)
Openalex Percentile: Top 44%
Optimization and Variational Analysis
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Application of AI Image Recognition in Aircraft Maintenance Tool Management · (2025) | TGRS Research Map | TGRS