Machine Learning News

EOMAP showcased its contribution to the world-first 3D habitat map of the Great Barrier Reef (GBR) at the International Forum on Satellite-Derived Bathymetry, SDB Day 2019 in Australia.

Making the Great Barrier Reef’s 3D Habitat Map

across the GBR. The wave energy parameter in turn informs all reef habitat classification and predicted coral types.The SSR data provides marine ecologists with additional, important information, when revealing the theoretical seafloor colour for the final habitat classification. Recent advances in machine learning and semi-automated classification then enable the researchers to efficiently and accurately process and classify all the reefs of the GBR.  “The importance of the outcomes from this project cannot be overestimated,” adds Dr. Thomas Heege, CEO of EOMAP.  “As an example

Deploying the Kraken Katfish.

Offshore Survey Vessels: Ready for Faster Sensors

for mid and offshore surveys.If we’re serious about increasing productivity, there must be a fundamental shift in the overall methodology - one that considers the full spectrum of technical advantages associated with vessel designs, sensor technology, autonomous platforms, power density and machine learning. I’m positive AI and blockchain methodologies fit in there somewhere. When we tackle this problem at LeeWay, we start with three fundamental realities:1.Collecting geophysical data requires a physical object (ship, satellite, AUV, UxV, buoy, etc) to be present at the point of acquisition

Photo: Kraken Robotics

Kraken Tallies $2.1 Million KATFISH Order

and in-stride classification.ThayerMahan’s SeaScout system includes real-time seafloor imagery transmission using secure, reliable (zero-error), rapid, data-compressed content delivery to cloud-based storage between fixed sites and mobile platforms, as well as cloud-based data analytics, using machine learning for automated change detection of seabed targets by comparing test-generated and deployed seabed targets against previously surveyed bottom mapping baseline information.Admiral (retired) Mike Connor, ThayerMahan’s President and CEO, said, “The search rate, resolution, seakeeping

Pic: DNV GL

DNVGL: New Mooring Line Solution for Offshore Ops

DNV GL has developed a solution that is designed to reduce the risk of offshore floating vessel mooring line failure going undetected by replacing physical sensors with a machine learning algorithm that accurately predicts line failure in real time.The Norwegean company's Smart Mooring solution addresses growing industry concern about the high frequency of mooring line failure, and a vessel’s subsequent loss of station. Over the past two decades, more than 20 incidents have been reported globally involving failure of permanent mooring systems on floating structures.In the most severe cases

Modus Seabed Intervention's Sabertooth HAUV

Modus Acquires Second Sabertooth HAUV

, later this year, in between its commercial commitments, Modus will trial a resident HAUV concept at an offshore wind farm in the UK. Read more here.“We are continuing to bring to market highly differentiated capabilities as we develop not only a fleet of autonomous vehicles but also AI and machine learning methods for integrating data, data visualization, remote vehicle control and mission planning,” Modus CEO Jake Tompkins says.The Modus vehicle has all the advanced features of Saab’s military hybrid AUV/ROVs, combined with the Saab Seaeye technology that includes iCON intelligent

Photo courtesy of EOMAP

The Great Barrier Reef: 3D Habitat Map

across the GBR. The wave energy parameter in turn informs all reef habitat classification and predicted coral types.The SSR data provides marine ecologists with additional, important information, when revealing the theoretical seafloor color for the final habitat classification. Recent advances in machine learning and semi-automated classification then enable the researchers to efficiently and accurately process and classify all the reefs of the GBR.  “The importance of the outcomes from this project cannot be overestimated,” adds Dr. Thomas Heege, CEO of EOMAP.  “As an example

Images: Modus Seabed Intervention

Flying new Routes Subsea

vehicle and we have developed it further so that it can be operated as a class leading survey and inspection vehicle,” says Ward. “We have focused on how the sensors are integrated, how they talk to each other, mission software and we are now moving into artificial intelligence and machine learning capabilities. We can already say ‘go here, if you see a pipeline, follow it, or if you see a monopile, perform an inspection around its circumference’. This has all been demonstrated in trials.  The next set of autonomous developments will be very exciting. In the near term

Martin McDonald, Senior Vice President, ROV Division, Oceaneering International.
Courtesy of Oceaneering International

One-on-One with Martin McDonald, SVP, ROV Division, Oceaneering

, station keeping, manipulator tasks, sensors, intervention tooling, and system diagnostics, which leads to improved performance and efficiency gains. Continued software and control systems development are key components to enable subsea residency and autonomous interventions.There’s also machine learning and machine vision. As I mentioned earlier, we have been working on automated operations, such as auto docking, where the ROV pilot can direct the ROV to move autonomously to a docking point by moving a cursor on the screen, without any intervention on the joystick. It is the machine vision

(Image courtesy of Wintershall)

4Subsea Acquires Astori

.4Subsea said it will investigate the opportunities of further digitizing Astori’s subsea control modules, in the same way it has developed digital twins for subsea production and drilling.Building on sensor data from both their own and third-party sensors and by using advanced algorithms and machine learning, 4Subsea’s domain experts provide a digital service for improved decision support to operators.“Our digital services help operators 'know it before it happens', so that they can act accordingly and perform minor repairs and maintenance, without risking replacing expensive

Marine Technology Reporter published a supplement to celebrate the 50th anniversary of Oceanology International. Photo: MTR

Oi: Tracking 50 Years of Ocean Innovation

typically built into the hull of a ship. Those instrumentation providers created a new wave of digital sonar, modern circuits, there’s been an evolution in transceivers and these shrank and have become to some extent more affordable.“The improvement in autonomy, artificial intelligence, machine learning, etc., they have matured. In the 1990s, you had to write a text file and up load it to the computer of the robot, push a button and hope it didn’t have a typo,” he adds. “Now to do a mission plan you throw a couple of way points in and say go. The software does all the hard

“Two Thales unmanned surface vessels are pictured entering Plymouth Sound for the first time.”

Photo credit: Shaun Roster Photography

Sensor and AI System for Plymouth Sound

which will provide situational awareness and communications with the unmanned vehicles operating out of the city’s harbor.The system will also provide the command & control of unmanned vehicles using the nearby ranges at sea.  Data from the network is being collected and analyzed by machine learning programs by M Subs’ growing AI team, with the assistance of Thales and a global and corporate partner leading in the field of machine learning and artificial intelligence.  The results of this work will finalize development of the computing system at the heart of the maritime AI system

Marine Technology Magazine Cover Jun 2019 - Hydrographic Survey: Single & Multibeam Sonar

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