A smartphone rip-detection tool to improve rip current awareness

智能手机撕裂检测工具，可提高撕裂电流感知能力

• 批准号: LP220200780
• 负责人: Dr Mitchell Harley
• 金额: $ 23.74万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-12-05 至 2026-12-04
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP220200780
• 关键词: smartphone; rip; detection; tool; improve

This project aims to develop a smartphone rip-detection tool and online education game to help reduce the number of Australians drowning in rips each year. The project expects to develop an optimised deep learning algorithm to detect rips from smartphone video taken at Australian beaches, which can then be used by Surf Life Saving Australia for training and education. Expected outcomes of this project are enhanced identification and literacy of rip currents, particularly among priority high-risk demographics like young males, culturally and linguistic diverse communities and rural visitors. This should provide significant benefits in reducing rip-current drowning and rescue incidents in Australia, particularly at unpatrolled beaches.

该项目旨在开发智能手机撕裂检测工具和在线教育游戏，以帮助减少澳大利亚每年溺水的人数。该项目预计将开发一种优化的深度学习算法，以检测在澳大利亚海滩拍摄的智能手机视频中的裂缝，然后可以由澳大利亚冲浪救生协会用于培训和教育。该项目的预期成果是加强对激流的识别和扫盲，特别是在年轻男性、文化和语言多样的社区和农村游客等重点高风险人口中。这将为减少澳大利亚的激流溺水和救援事件提供显着的好处，特别是在无人巡逻的海滩。