Transas A-Suite uses AI to reduce human error

Frank Coles:
Frank Coles: "Technology shouldn't be an end in itself – but a tool to achieve an end"
The advanced ‘A-Suite’ package sets a new precedent by utilising the latest in machine learning techniques to reduce human errors
The advanced ‘A-Suite’ package sets a new precedent by utilising the latest in machine learning techniques to reduce human errors
Industry Database

Transas has launched its first package of applications built on THESIS, an AI cloud-based platform for managing all maritime operations.

The advanced ‘A-Suite’ package also sets a new precedent by utilising the latest in machine learning techniques to reduce the potential for human errors on the bridge or poor decisions elsewhere in the vessel operational chain.

"Technology shouldn't be an end in itself – but a tool to achieve an end,” said Frank Coles, CEO, Transas.

“We want to help the industry improve by enabling it to make better decisions and boost competitive advantage, using machine intelligence to augment the human in the loop.”

Digital world

Mr Coles added that Transas is especially proud to go “beyond the hype” by bringing to market a set of revolutionary AI-powered e-navigation tools apposite to the needs of modern ships operating in an increasingly automated and digital world.

In addition to the officers and crew working on board ships, A-Suite will be available to personnel managing VTS systems and those running shore-based fleet operational centres or even training facilities, allowing them to participate in real-time decision support and post-voyage analysis.

The Transas A-Suite employs machine learning techniques to de-risk vessel operation on the bridge, at fleet operation centres and in VTS centres. Algorithms detect anomalies in the behaviour of the human operator wherever they are in the operational chain and raise the alarm before the consequences of a course of action or momentary lapse in attention become irreversible.

First version

The first version of the package comprising three core modules – Advanced Intelligent Manoeuvring (AIM), Advanced Intelligent Diagnostics (AID) and Advanced Intelligent Routing (AIR), is now available to end-users and the services will become fully operational over the coming months.

AIM is a track prediction system and anti-collision support tool designed to improve situational awareness and reduce the probability of officer inattention or poor judgement leading to an incident. AID is primarily intended to detect anomalies and provide decision support both in real-time or during a more methodical post-voyage analysis. AIR creates a platform for voyage planning and optimisation based on an extensive set of parameters.

These modules are supported by Advanced Data Delivery (ADD) and Advanced Remote Maintenance (ARM). ADD frees deck officers from the laborious task of updating of special electronic charts (SENCs), weather data and other navigational safety notices. ARM provides remote diagnostics and performance analytics for bridge and satellite communication equipment.

In addition, A-Suite features a sophisticated e-learning solution, Advanced Remote Training for Seafarers (ARTS), with online access to manufacturer-approved, type-specific training courses for Transas ECDIS. This is fully compliant with SOLAS, ISM and STCW requirements.

By Anne-Marie Causer

Latest Press Releases

Corpetrolsa Group of Ecuador to take delivery of three Damen Stan Tugs

Damen Shipyards Group has signed a contract with Corpetrolsa Group of Guayaquil, Ecuador, for the su... Read more

Damen shows its first completed UV 4312 Fish Farm Support Vessel

Damen has held the first viewing of its innovative UV 4312 Fish Farm Support Vessel. The new class i... Read more

Damen strengthens female presence in the maritime industry

Damen’s Head of Communications, Sylvia Boer, has recently been appointed President of the Netherland... Read more

Damen Shipyards Group delivers 19-vessel order to German heavy lift company Combi Lift

Customised shallow draught vessels for Russian inland waterways Read more

View all