Marine traffic
Of the various observation and surveillance systems available for marine traffic, aerial and satellite imaging offers a number of interesting benefits for observation and surveillance.
lthough the satellite data from the Copernicus programme (Sentinel-1/2) offers a certain level of detection, unfortunately it is not adapted to studying traffic rates for yachting activities, which require metric-resolution images.
Precisely discriminating between small crafts (<10 m)—which make up the majority of yachts—and differentiating between these based on their type and size (motorized/non-motorized, type of nautical activities practised, static or moving) offers stakeholders in the sailing industry and managers of protected marine areas the information they need.
Once again, imaging and deep learning make for an excellent pairing. Once trained to recognized different yachting activities and their associated crafts, the model can be used to deliver regular status reports on traffic in lakes. This information helps provide a clearer picture of practices in the sailing industry (sailing areas, traffic periods and zones, anchorage zones, activities practised) and the pressure placed on marine habitats.
Our product performs equally well regardless of the type of images input (aerial photos, satellite images), their resolution, and the conditions in which they were taken and environmental conditions (cloud cover, shadows, etc.), both of which can affect image quality. It provides excellent results at all times, delivering reliable and accurate information with minimum human intervention, in short time frames, enabling complete and rapid diagnostics of marine traffic.
2021
Launch year
4
Number of productions
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