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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

Abstract

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.

Keywords

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

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References

[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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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.

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