FlowCam Phytoplankton Identification
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.
Case Studies
FlowCam Phytoplankton Identification
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.
Fish Otoliths
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...
Fish Otoliths
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...
EyeOnWater
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...
EyeOnWater
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...
Ecosystem Monitoring at EMSO Sites by Video Imagery
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.
Ecosystem Monitoring at EMSO Sites by Video Imagery
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.
Cold Water Coral Reefs
Develop a deep-learning method for analysing underwater video footage of cold-water coral (CWC) reefs in the Bay of Biscay.
Cold Water Coral Reefs
Develop a deep-learning method for analysing underwater video footage of cold-water coral (CWC) reefs in the Bay of Biscay.
Beach Monitoring
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.
Beach Monitoring
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.