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Underwater Internet of Things-Based Solutions for Intelligent Marine Target Recognition

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Listed:
  • Ping Hu
  • Kaina Jiang
  • Peng Chen
  • Yingchun Huan
  • Ruiyong Yue
  • Hongyuan Gao

Abstract

In order to solve the problems of poor data processing ability of underwater hardware equipment and low accuracy of classification algorithms in the existing marine target recognition and detection methods based on sensors and transducers, by combining perception technology, underwater Internet of Things technology, and artificial intelligence, multiple devices could communicate with each other to achieve automatic and intelligent high-precision marine target recognition. Compared with existing methods, not only the accuracy rate is improved but also the hardware requirements are lower, and it is easier to deploy in engineering.

Suggested Citation

  • Ping Hu & Kaina Jiang & Peng Chen & Yingchun Huan & Ruiyong Yue & Hongyuan Gao, 2022. "Underwater Internet of Things-Based Solutions for Intelligent Marine Target Recognition," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-9, August.
    • Handle: RePEc:hin:jnlmpe:7898888
    DOI: 10.1155/2022/7898888
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