Within the framework of the dAIEDGE project, research in computer vision and deep learning is reaching high levels of efficiency thanks to the work of Mhd Rashed Al Koutayni, researcher at DFKI Kaiserslautern.
Viviane Potocnik from ETH Zürich shares how her team is tackling the challenges of Edge computing within the dAIEDGE project.
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 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).
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...
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 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.