AI in Marine Acoustics

Acoustic data is transformed into maps that reveal the distribution and movement patterns of various marine species. These maps help researchers understand how different animals interact with their environment and each other.

Species Identification/Counting

AI algorithms are used to identify and count specific marine species based on the unique acoustic signatures of their calls or clicks. This allows for continuous monitoring of population sizes without physical disturbances.

By analyzing soundscapes, scientists can track changes in animal populations over time, which is crucial for conservation efforts.

live demo · related simulation● LIVE

Assessing Impacts on Ecosystems

AI models assess the impacts of human activities such as shipping and construction on marine ecosystems by analyzing noise levels. This helps in understanding how these disturbances affect different species.

By integrating data from various sources, AI enables a comprehensive view of ecosystem health and resilience.

Frequently asked questions

What does ‘precision/recall’ refer to in the context of these maps?

‘Precision/recall’ refers to the accuracy of species identification – precision measures how many of the identified animals are actually present, while recall measures how many of the actual animals were correctly identified by the AI.

▶ Try it live

Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Hash Function Avalanche Visualizer simulation

AI in Marine Acoustics — Visibility, Soundscapes, and Ecosystems