One of the dAIEDGE work packages focuses on tangible use cases that demonstrate the potential of distributed artificial intelligence in key sectors such as public transport and logistics.
To establish an operational image handling service at the iMagine platform that ingests, stores, processes images of marine water samples taken by the Zooscan instrument and uploads the resulting regions of interest to the EcoTaxa platform for later taxon...
To develop, using the iMagine platform, a prototype service for processing acoustic underwater recordings for identification and recognition of marine species and other noise types (e.g., offshore piling).
Develop an automated system for high-resolution bathymetry mapping using satellite imagery, specifically targeting the coastlines of Mallorca Island and the Balearic Islands. Current methods rely on manual calibration and processing, which limits data ac...
To establish an operational service at the iMagine platform for automatic processing of satellite images for detecting oil spills as extra component of an existing marine pollution oil spill monitoring and modelling service.
To develop, using the iMagine platform, a prototype diatom-based bioindication service using automatic pattern recognition algorithms from individual microscope images from freshwater environments.
To establish an operational service at the iMagine platform for ingestion, storage, analysis and processing of FlowCam images for determining taxonomic composition of phytoplankton samples.
Develop an AI algorithm to identify the age of a fish from an otolith image. Age data is fundamental to evaluating fish stock status as age data underpins the growth and mortality rates, as well as maturity patterns, which ultimately contribute to stock s...
MARIS develops and operates the successful EyeOnWater app, which invites users to make and share images of water surfaces with their smartphones. This helps researchers classify rivers, lakes, coastal waters, seas, and oceans by colour. It can be used for...
To establish an operational and integrated service at the iMagine platform for automatic processing of video imagery, collected by cameras at EMSO underwater sites, identifying and further analysing interesting images for purposes of ecosystem monitoring.
Develop a deep-learning method for analysing underwater video footage of cold-water coral (CWC) reefs in the Bay of Biscay.
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.