Underwater Inspection

Underwater inspection, crucial for diverse applications like aquaculture, pipeline maintenance, and ship hull assessment, aims to automate visual and acoustic data acquisition and analysis for improved efficiency and safety. Current research emphasizes the use of autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs) equipped with advanced sensors and computer vision techniques, including deep learning models like DenseNet and HyperSeg for image segmentation and pose estimation, and multi-task learning for sound speed profile inversion. These advancements enable more accurate and cost-effective inspections, reducing reliance on human divers and improving the reliability of underwater assessments.