Underwater Hazard Detection for Hydraulic Structures Based on Computer Vision

Xiaobian Wu

doi:https://doi.org/10.37155/2972-483X-0201-1

Underwater Hazard Detection for Hydraulic Structures Based on Computer Vision

Xiaobian Wu （ Nanjing Hydraulic Research Institute, Ministry of Water Resources, Ministry of Transport, National Energy Administration, Nanjing City 210000, Jiangsu Province, China. ）

https://doi.org/10.37155/2972-483X-0201-1

简介

With the aging of hydraulic engineering and the increasing complexity of underwater environments, the detection of underwater hazards in hydraulic structures has become an urgent need. Traditional detection methods, due to difficulties in operation, low efficiency, and poor accuracy, have become increasingly inadequate to meet practical requirements. Therefore, this paper proposes a computer vision-based method for underwater hazard detection in hydraulic structures. The aim is to achieve automatic, efficient, and accurate detection of underwater hazards in hydraulic structures through image processing and analysis techniques.

关键字

Computer vision; Hydraulic structures; Underwater hazard detection; Image processing

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参考文献

[1]Li, X., Zhang, H., Wang, W., et al. (2023). Research on underwater hazard detection method for hydraulic structures based on deep learning. [J] Journal of Hydraulic Engineering and Waterway Transport, 45(1), 1-8.
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[3]Wang, W., Li, Y., & Ma, H. (2022). Research on underwater object detection algorithm based on improved YOLOv5. [J] Journal of Computer Engineering and Applications, 58(21), 1-9.
Zhang, X., Wang, L., & Wang, G. (2021). Application of underwater robot vision system in the detection of hydraulic structures. [J] Journal of Harbin Engineering University, 42(10), 1435-1442.

出版时间:2024-02-28
本作品采用以下许可协议授权：知识共享署名 4.0 国际许可协议