AI-Based Sonar Noise Cancelling

By Mike Ball / 03 Mar 2021

Marine AI Software

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Teledyne CARIS AI noise cancellationTeledyne CARIS has released a whitepaper explaining how artificial intelligence can be used to identify and remove a broad range of noise patterns from sonar mapping data gathered by USVs (unmanned surface vessels) and UUVs (unmanned underwater vessels).

Read the full whitepaper here

The whitepaper covers:

  • How noise arises from incorrect computations
  • The limitations of traditional software-based noise filtering and processing
  • Selecting the best AI technique, and a suitable dataset for training
  • Institutions using Teledyne CARIS’ Mira AI platform and Sonar Noise Classifier to provide consistency, efficiency and cost savings
  • Further AI-based features currently in development, including object detection and bathymetric LiDAR data processing

To find out more about AI-based sonar noise cancelling and Teledyne CARIS’ Mira AI platform, read the full whitepaper here.

Posted by Mike Ball Mike Ball is our resident technical editor here at Unmanned Systems Technology. Combining his passion for teaching, advanced engineering and all things unmanned, Mike keeps a watchful eye over everything related to the unmanned technical sector. With over 10 years’ experience in the unmanned field and a degree in engineering, Mike’s been heading up our technical team here for the last 8 years. Connect & Contact

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