Shackle Status Detection Network Based on an Improved YOLOv11 Model

Shackles are indispensable connecting components in the field of engineering, extensively utilized in power construction, maritime systems, vehicle traction, aerial operations, and lifting tasks. Current detection methods suffer from inadequate featur

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Publication Details

Published
2025-10-03
DOI
https://doi.org/10.36227/techrxiv.175951823.31820184/v1
Primary Topic
Fatigue and fracture mechanics
Type
article
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article

Shackle Status Detection Network Based on an Improved YOLOv11 Model

Hao Cui, Lianzheng Ge, Haohan Shen
Fatigue and fracture mechanics
article

Shackle Status Detection Network Based on an Improved YOLOv11 Model

Hao Cui, Lianzheng Ge, Haohan Shen
article en

Abstract

Shackles are indispensable connecting components in the field of engineering, extensively utilized in power construction, maritime systems, vehicle traction, aerial operations, and lifting tasks. Current detection methods suffer from inadequate featur

Harbin Institute of Technology (CN)
Openalex Percentile: Top 69%
Fatigue and fracture mechanics
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Shackle Status Detection Network Based on an Improved YOLOv11 Model — Hao Cui, Lianzheng Ge, et al. · (2025) | TGRS Research Map | TGRS