INTERPRETABLE ARTIFICIAL INTELLIGENCE FOR RIP CURRENT DETECTION AND LOCALIZATION
ICCE 2022
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How to Cite

Rampal, N., Rautenbach, C., & Shand, T. (2023). INTERPRETABLE ARTIFICIAL INTELLIGENCE FOR RIP CURRENT DETECTION AND LOCALIZATION. Coastal Engineering Proceedings, (37), management.112. https://doi.org/10.9753/icce.v37.management.112

Abstract

A rip current is a strong, localized current of water which moves along and away from the shore. Identification of rip currents is important for both surf lifesavers/lifeguards when making decisions on where to designate safe swimming areas and for the general public when deciding on where to swim when lifeguards are on patrol. Our motivation is to enable better real-time detection of rip-currents to assist and improve decision-making and reduce the potential for loss of life. Our approach is to develop an artificial intelligence (AI) algorithm that both identifies whether a rip-current exists in a video or image, but also localizes where that rip-current occurs.
https://doi.org/10.9753/icce.v37.management.112
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References

Brander, R. Dominey-Howes, D., Champion, C., Del Vecchio, O., and Brighton, B. Brief Communication: A new perspective on the Australian rip current hazard. Natural Hazards and Earth System Science, 2013; 13 (6): 1687

de Silva, A., Mori, I., Dusek, G., Davis, J., & Pang, A. (2021). Automated rip current detection with region based convolutional neural networks. Coastal Engineering, 166, 103859.

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Copyright (c) 2023 Neelesh Rampal, Christo Rautenbach, Tom Shand