The National Science Foundation (NSF) awarded a $274,694 Phase I Small Business Innovation Research (SBIR) grant to Hyperkelp Inc. under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program. The grant supports the feasibility assessment of an L5 GPS-based tsunami detection and alerting system. The proposed solution aims to provide enhanced real-time wave height and arrival time mapping capabilities, enabling significantly earlier tsunami warnings to vulnerable coastal populations. The project will focus on developing novel signal classification methods using dense neural networks and rapid machine learning to detect subtle vertical ocean surface displacements indicative of incoming tsunamis. If successful, this technology could be deployed on widespread ocean buoys to form a robust tsunami detection network, helping to improve global tsunami preparedness and resilience.
Generated 1/28/25, 11:01 AM