#7343. Quantitative loosening detection of threaded fasteners using vision-based deep learning and geometric imaging theory

August 2026publication date
Proposal available till 28-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Building and Construction;
Civil and Structural Engineering;
Control and Systems Engineering;
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Abstract:
With the development of signal processing and deep learning, vision-based methods for loosening detection have progressed in recent years. However, existing visual inspection methods are mainly used to measure the loosening angle, which requires prior knowledge of the initial tightening states, and is only applicable to hexagon bolts and nuts with clear edges. This paper proposes a method to quantitatively calculate the length of the exposed bolt for detecting loosening using vision-based deep learning and geometric imaging theory.
Keywords:
Deep learning; Geometric imaging theory; Loosening detection; Threaded fastener

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