Research and application of UAV refined 3D modeling in intelligent inspection of large amusement facilities

With the continuous development of science and technology, drone technology has been widely used in various fields. This paper mainly discusses the application of unmanned aerial vehicle (UAV) refined 3D modeling and structural defect image identification algorithm in the intelligent inspection of large amusement facilities. First, the importance of amusement facility inspection and the shortcomings of traditional inspection methods are introduced, and then the technical principles and advantages of UAV 3D modeling are explained. On this basis, this paper introduces a neural network-based image intelligent recognition algorithm for identifying suspicious structural defects, which can effectively assist manual judgment. Finally, through actual case analysis, the specific application process and outcome of UAV 3D modeling with structural defect image identification algorithm in the intelligent inspection of amusement facilities are demonstrated, which proves that this method can greatly improve the safety and effectiveness of the inspection process.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icemce64157.2024.10862930
Citations
3
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
2.50
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Research and application of UAV refined 3D modeling in intelligent inspection of large amusement facilities

Yingjie Shen, Xia Yin, Qingcheng Chen, Ting Zhang et al.
3 citations
3D Surveying and Cultural Heritage
2.50
article

Research and application of UAV refined 3D modeling in intelligent inspection of large amusement facilities

Yingjie Shen, Xia Yin, Qingcheng Chen, Ting Zhang, Xu Li
article en
3 citations

Abstract

With the continuous development of science and technology, drone technology has been widely used in various fields. This paper mainly discusses the application of unmanned aerial vehicle (UAV) refined 3D modeling and structural defect image identification algorithm in the intelligent inspection of large amusement facilities. First, the importance of amusement facility inspection and the shortcomings of traditional inspection methods are introduced, and then the technical principles and advantages of UAV 3D modeling are explained. On this basis, this paper introduces a neural network-based image intelligent recognition algorithm for identifying suspicious structural defects, which can effectively assist manual judgment. Finally, through actual case analysis, the specific application process and outcome of UAV 3D modeling with structural defect image identification algorithm in the intelligent inspection of amusement facilities are demonstrated, which proves that this method can greatly improve the safety and effectiveness of the inspection process.

Shanghai Jiao Tong University (CN), Shandong Special Equipment Inspection Institute (CN)
Openalex Percentile: Top 9%
3D Surveying and Cultural Heritage
2.50
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