Project description
Smarter cabin solutions take flight
The aviation industry needs new cost-effective and reliable solutions to increase security and competitiveness. The sector is subject to new regulations such as the TTL (ticket time limit) requirements for cabin luggage. The EU-funded SmaCS project, led by two key players in aeronautic camera systems and machine learning, OTOMY Aviation and VICOMTECH, proposes an advanced solution for digitalised verification of cabin luggage. The project will develop a machine learning algorithm for cabin luggage control in poor light and contrast conditions. It will also establish an advanced method to make data-driven predictions. The project is also working on an aeroplane compatible image data processing hardware. Overall, this new technology will promote safety-related solutions in the aviation and transportation sectors.
Fields of science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- social sciencessocial and economic geographytransportpublic transport
- natural sciencescomputer and information sciencesdata sciencedata processing
- natural sciencesbiological sciencesecologyecosystems
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraft
Programme(s)
Call for proposal
H2020-CS2-CFP09-2018-02
See other projects for this call
Funding Scheme
CS2-IA - Innovation actionCoordinator
33700 Merignac
France
Participants (1)
20009 Donostia San Sebastian