Shipping

 

DIVMALDA

Digitization and verification of live emissions data from ships for transparent and credible reporting and monitoring processes and CO2-optimized ship operation

 

Scedas.healthcare

OR planning at the touch of a button

 

QSH

Quantum computing: a new driver for the maritime industry?

 

SCEDAS

SCEDAS® is a decision support system that supports ship managers in calculating detailed work plans for every seaman - mathematically optimized with powerful algorithms, ready for use on land and on board.

 

marFM®

With conventional radiotelephony communication, misunderstandings can very easily occur. marFM® reliably supports and transcribes maritime radio messages by using artificial intelligence.

 

eFTIbarge

Digital information exchange in inland navigation.

 

 

EmissionSEA

Determination and reduction of CO2 emissions from ships.

 

 

SCIPPER

Monitoring ship emissions and their impact on the environment.

 

PLAIN

The mathematical planning algorithms in PLAIN determine, on the one hand, the personnel key required to meet the maintenance requirements on time, taking into account the ship's operation, and, on the other hand, provide quantitative decision support for the conception of the maintenance plan.

 

ARTUS

Recording and automatic transcription of maritime VHF communication using artificial intelligence (AI)

 

LEAS

Decision recommendations for VTS with highly automated or autonomous vessels using AI.

 

B ZERO

Implementation of a ship bridge guard-free for up to eight hours with the help of reinforcement learning.

 

 

EMSN & APMSN

Maritime simulator networks EMSN and APMSN as the basis for nautical communication, data exchange, ship bridge simulations, test trials and ship controls in joint simulations.

 

Completed Projects

Here you can find information about our completed research projects.