New Wave Media

October 16, 2018

Teledyne CARIS to Present at Hydro 18

CARIS Onboard can be used to process and monitor survey data from multiple platforms (Image: Teledyne CARIS)

CARIS Onboard can be used to process and monitor survey data from multiple platforms (Image: Teledyne CARIS)

Marine mapping software developer Teledyne CARIS said it will present at the Hydro 18 Conference and Trade Exhibition taking place in Sydney, Australia from October 30 to November 1.

The Teledyne CARIS team will present on two separate occasions during the conference:  

  • Interactive workshop, ‘Knowing our Oceans and Understanding our Future through Automation’ on October 30 at 1 p.m. Join team of experts and learn how to keep pace with the volumes of data generated by modern survey operations, ensure it is of suitable quality, and turn it into more information products to support our oceans. Space is limited in this information session, so register early to ensure your seat.
  • ‘Advancing Hydrographic Data Processing through Machine Learning’ on October 30, 5:30 p.m. presented by Burns Foster, Manager of New Product Initiatives, Teledyne CARIS. Attendees will learn how this newly assembled machine-learning algorithm is being used to automatically identify and classify common types of noise in sonar systems to significantly reduce manual data cleaning.

Teledyne CARIS has also co-authored two additional papers, which will be showcased at Hydro 18:

  • November 1, 3:50pm - ‘Monitoring Quality of Over the Horizon Autonomous Surveys’ presented by David Field, Operations Director, iXblue
  • November 1, 11:30am - ‘High Density ENCs for New Zealand Ports’ presented by Marvin Espino, Technical Change Leader, New Zealand Hydrographic Authority, Land Information New Zealand

Teledyne CARIS representatives at Stand #18 will demo of the newest versions of HIPS and SIPS, CARIS Onboard and Bathy DataBASE, showing how technological advancements like automatic boresight calibration, machine learning, automation, and one-step processing will create efficiencies and streamline your bathymetric workflow.

Australiamachine learningNew Zealand