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Updated: Sep 21, 2025

Developing a Virtual Reality Video Game to Simulate Rip Currents
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Reducing rip current drowning: An improved residual based lightweight deep architecture for rip detection.

Ashraf Haroon Rashid1, Imran Razzak1, M Tanveer1

  • 1Department of Mathematics, Indian Institute of Technology Indore, Simrol, Indore, India; School of Computer Science and Engineering, University of New South Wales, Australia; School of Information Technology, Deakin University, Geelong, Australia.

ISA Transactions
|May 31, 2022
PubMed
Summary

Rip current detection technology can significantly reduce beach drownings. A new AI framework, RipDet+, achieves 98.55% accuracy in identifying dangerous rip currents, improving beach safety.

Keywords:
Beach safetyResidual learningRip currentsRip detectionRipDet

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Area of Science:

  • Oceanography and Coastal Safety
  • Artificial Intelligence and Machine Learning
  • Public Health and Drowning Prevention

Background:

  • Rip currents cause approximately 25 fatal drownings annually in Australia.
  • Most beachgoers struggle to identify rip currents, increasing drowning risks.
  • Automated rip current detection is challenging due to variable beach conditions.

Purpose of the Study:

  • To present an improved lightweight framework, RipDet+, for automated rip current detection.
  • To enhance the generalization performance of rip current detection models.
  • To provide a tool for reducing drownings and aiding lifeguard supervision.

Main Methods:

  • Utilized the Yolo-V3 architecture to develop the RipDet+ framework.
  • Employed residual mapping to improve generalization capabilities.
  • Leveraged pretrained weights from base classes to accelerate adaptation to rip current data.

Main Results:

  • The RipDet+ framework achieved a detection accuracy of 98.55%.
  • This accuracy significantly surpasses existing state-of-the-art methods for rip current detection.
  • The framework demonstrated effectiveness in diverse and challenging beach conditions.

Conclusions:

  • RipDet+ offers a highly effective solution for automated rip current detection.
  • The developed framework has the potential to substantially decrease rip current-related fatalities.
  • Improved rip current identification can enhance beach safety and lifeguard operations.