Beach Monitoring

Posidonia oceanica berms and rip-currents detection from beach monitoring systems


To develop, using the iMagine platform, a prototype service for processing video images from beach cameras for monitoring formation and dismantling events of seagrass beach berms (Posidonia oceanica) and detecting rip-currents.

Development actions during iMagine


Setting up a development and training environment at the iMagine platform


Connecting the existing database to the iMagine platform for ingesting and extracting data


Analysis and training of AI models fit for processing daily images of seagrass berms. Focus of AI will be on quantification of berms area in time and analysis of events of formation and dismantling


Analysis and training of AI models fit for detecting rip currents, their position, and characteristics (length, wide)


Documenting approach and experiences with resulting prototype


Contributing to dissemination and outreach

Expected Results


Seagrass is an important indicator for ocean health. The detection of Posidonia oceanica berms formation and dismantling events will add to characterising and understanding seagrass berms variability and underlying processes and provide more insights in their role as wave damping areas in front of extreme wave events. Rip-currents are narrow, offshore directed currents that represent one of the greatest hazards for beach users around the world.


Therefore, detection of Rip-currents will contribute to developing a real-time warning system for beach recreation. Furthermore, their characterization will help to gain knowledge on sediment transport processes and beach erosion/accretion patterns related to rip-currents. The iMagine prototype service including beach camera’s has great potential for application at other beaches all over Europe.

Involved Partners