Underwater drone and computer vision – object detection in Jammerbugt, Denmark

Employing a remotely operated vehicle (ROV) equipped with high-resolution
cameras, the research focuses on the assessment of seabed substrate and
classification of marine organisms. Underwater ROVs can be navigated in
diverse and complex underwater environments, such as stone reefs, capturing
detailed imagery of the seabed, structures, and organisms. Computer vision
algorithms are employed to analyze these images, enabling automated
detection and classification of seabed substrates and organisms. The
utilization of drones and artificial intelligence provide a means for rapid,
objective, and accurate data analysis with respect to habitat composition and
biodiversity estimation, which holds a significant promise for marine
conservation efforts. By leveraging state-of-the-art technologies to efficiently
survey underwater environments, this interdisciplinary approach allows for a
greater understanding of our delicate marine ecosystems.