Optics and Precision Engineering, Volume. 32, Issue 5, 661(2024)

Acoustic-vibration intelligent detection of flexible shallow buried objects

Chi WANG1... Peng CAO1, Qing HUANG2, Chao WANG1 and Cailiang SHENG3,* |Show fewer author(s)
Author Affiliations
  • 1Department of Precision Mechanical Engineering, Shanghai University, Shanghai200444, China
  • 2Aviation Industry Corporation of China Luoyang Electro-optical Equipment Research Institute, Luoyang47103, China
  • 3Jiangsu Yongkang Machinery Co., Ltd.,Wuxi21420, China
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    A novel sound-vibration detection approach, leveraging a target detection algorithm, merges acoustic stimulation, laser speckle interferometry, and target detection algorithms for efficient and broad-range detection of flexible, shallowly buried objects. Initially, after discussing the YOLO series target detection algorithm principles, an optimal intelligent detection network model for these objects is chosen. Subsequently, a sound-light fusion intelligent detection system is developed, creating a dataset of laser speckle interference patterns for various flexible, shallowly buried objects. This dataset is then trained and tested to evaluate the algorithm's effectiveness in recognizing interference patterns. Experimental outcomes reveal that, under specified conditions, the model achieves a 98.39% accuracy rate, an 84.72% recall rate, and an average recognition accuracy of 99.66%. This sound-vibration detection method effectively identifies laser speckle interference patterns of numerous flexible, shallowly buried objects in the tested environment, proving its efficacy for quick, large-scale detection of such objects underground.

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    Chi WANG, Peng CAO, Qing HUANG, Chao WANG, Cailiang SHENG. Acoustic-vibration intelligent detection of flexible shallow buried objects[J]. Optics and Precision Engineering, 2024, 32(5): 661

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    Paper Information

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    Received: Nov. 8, 2023

    Accepted: --

    Published Online: Apr. 2, 2024

    The Author Email: SHENG Cailiang (jsykscl@163.com)

    DOI:10.37188/OPE.20243205.0661

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