AI for IUU Fisheries Detection & Enforcement Prioritization
Use AIS, EO, and risk models to detect illegal, unreported, and unregulated fishing and prioritize patrols for maximum impact.
IUU fishing harms ecosystems and economies. AI can detect dark activity, gear behavior, and restricted-zone incursions, producing ranked cases for limited patrol assets and evidence for prosecutions.
Regional risk from stock status, season, closures.
Prioritized case lists for patrol/boarding.
Evidence packages with tracks, imagery, timestamps.
Environmental: chlorophyll, SST, bathymetry for stock hotspots.
Stream AIS; fuse with EO/SAR detections; dedup and QC.
Spatial indexing for zones; event generator for crossings.
Frequently asked questions
What is evidence export (tracks, images, timestamps) for legal use?
Evidence export (tracks, images, timestamps) for legal use.
How can I utilize APIs for tasking patrols and logging outcomes?
The mysimulator.uk API allows you to remotely command simulated patrol units and record the results of their actions, providing valuable data for analysis and training scenarios.
What is the process for integrating Automatic Identification System (AIS) data with Earth Observation (EO)/Synthetic Aperture Radar (SAR) sources to identify zone crossing events?
You can combine AIS tracking data with imagery from satellites – such as EO or SAR – to pinpoint the exact locations where simulated vessels enter and exit designated zones, enhancing your simulation's realism and analytical capabilities.
How do I train behavior/risk models and validate them using historical boarding data?
You can develop predictive models for vessel behavior and risk assessment by training them on past simulation data; these models should then be rigorously validated against recorded boarding events to ensure accuracy and reliability.
▶ 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.