Glafcos works in tandem with university and industry experts in order to push the frontiers of innovation across a number of disciplines in the maritime field.
OPTINAV FP5-IST (2001-2003): Hull stress fatigue cycles were recorded by a sensor network of strain gauges and accelerometers in order to compare them against the acceptable limits and assist in the navigation of the ship.
INCASS FP7-SST (2013-2016): Integration of monitoring, inspection, data gathering (including real-time information), risk analysis and management and Decision Support for ship structures, machinery and equipment in an efficient and collaborative manner.
ROBINS H2020-ICT (2018-2021): Fill the technology and regulatory gaps that hinder the adoption of Robotics and Autonomous Systems (RAS) in activities related to the inspection of ships. Improve the ability of RAS in sensing, navigating and positioning in confined spaces, provide new software tools for image and data processing (3D models ) to provide the surveyor with the same level of information as obtained by direct human observation.
SOUP Τ1ΕΔΚ-04171 (2018-2021): Development of automated monitoring systems through sensor networks, advanced image processing, deep learning techniques and robotic mechanisms to automate labor-intensive tasks and allow for individualized management of plants in hydroponic tomato cultures. SOUP is co-funded with the contribution of the European Union.