Cross-sea Wave Analysis and Prediction System (CWAPS)

The main topic of this project is to detect the presence and direction of cross-sea waves on the sea surface using X-band radar images. The cross-sea wave pattern may have significant energy and instantaneous irregularity, making it potentially dangerous. The target customer groups of this project include the shipping companies and shipowners,
fishing industry, and water sports enthusiasts and surfers. The size of the problem is significant, as cross-sea waves can
occur in various oceanic regions and at different times, posing risks to a wide range of customers engaged in marine
activities. Thus, the estimation of the cross-sea wave can effectively enable customers to access timely marine wave
forecast information for activity areas and avoid hazardous areas or take necessary precautions. This could lead to a
reduction in accidents and incidents, boosting customer confidence in marine activities and enhancing overall marine
safety.

Faculty Supervisor:

Weimin Huang

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Ocean Tech; Information and Communications Technology; Artificial Intelligence

University:

Memorial University of Newfoundland

Program: