INCASS

Inspection Capabilities for Enhanced Ship Safety

The INCASS project is a multifaceted project bringing together a range of experienced and dedicated partners in order to tackle the issue of ship inspection, identification of high-risk and sub-standard ships, providing access to information related to ship surveys independent of the ship flag state and inspection regime. Moreover the project tend to incorporate enhanced and harmonized cooperation of maritime stakeholders. Its main aim is to avoid ship accidents, promote maritime safety and protect the environment. Machinery and structural data from ship operations, inspection data and failures, is very valuable and could be used much more effectively to maximize benefits to the shipping business and the wider community.

Duration: 01.11.2013 till 30.04.2017
Donee: German Research Center for Artificial Intelligence GmbH
Sponsor: European Union
Seventh Framework Programme of the European Union
Partner: LLOYD'S REGISTER, RINA SERVICES, UIB, GLAFCOS MARINE, BUREAU VERITAS, AES, TSI, SHIPCON LIMASSOL, DANAOS SHIPPING, AP&A LTD
Application Field: Logistics, Production and Consumer
Related Projects: MINOAS
Marine Inspection Robotic Assistant System (06.2009- 06.2012)

Project details

The INCASS consortium aims to bring an innovative solution to the ship inspection regime through the introduction of enhanced inspection of ship structures based on robotic platforms, providing ship structures and machinery with realtime information using ‘intelligent’ sensors and incorparate structural and machinery risk analysis.

Picture gallery

Publications

2016

Advances in Automated Ship Structure Inspection
Thomas Koch, Sankaranarayanan Natarajan, Felix Bernhard, Alberto Ortiz, Francisco Bonnin-Pascual, Emilio Garcia-Fidalgo, Joan Jose Company Corcoles
In Proceeding of 15th International Conference on Computer Applications and Information Technology in the Maritime Industries, (COMPIT-2016), 08.5.-08.5.2016, Lecce, n.n., May/2016.

2014

Design and Control of MIRA: a Lightweight Climbing Robot for Ship Inspection
Mohammed Ahmed, Markus Eich, Felix Bernhard
In World Symposium on Mechatronics Engineering & Applied Physics (WSMEAP2014), (ICME-2014), 18.6.-20.6.2014, Sousse, IEEE, pages 58-62, Jun/2014.
Reliable, Cloud-based Communication for Multi-Robot Systems
Ronny Hartanto, Markus Eich
In The 6th Annual IEEE International Conference on Technologies for Practical Robot Applications, (TePRA-2014), 14.4.-15.4.2014, Woburn, Massachusetts, IEEE, Apr/2014.

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last updated 04.01.2024