Ny programvare og hardware for estimering av havoverflate og egenskaper

Offentlig prosjektsammendrag

Understanding and accurately estimating ocean surface characteristics is critical for various applications, including maritime safety, environmental monitoring, and disaster management. The ability to construct 3D surfaces of the ocean from stereo camera images is particularly valuable as it provides detailed and real-time information on wave height, wavelength, direction, and speed. Despite the significant need for such technology, there is currently no robust system capable of reliably estimating ocean surface characteristics under diverse weather and illumination conditions in Norway or internationally. This project aims to address this gap by developing a comprehensive system that leverages both traditional methods and cutting-edge artificial intelligence (AI) techniques, particularly neural networks (NNs), to estimate ocean surface characteristics from stereo camera images.