CARIS Mira AI and the Sonar Noise Classifier

CARIS Mira AI and the Sonar Noise Classifier

Discover CARIS Mira AI, a cloud-based platform revolutionizing sonar data processing with the Sonar Noise Classifier, cutting manual cleaning by up to 10x and boosting efficiency with 95% accuracy.

Learn about the CARIS Mira AI platform and how the new Sonar Noise Classifier can bring efficiencies to your sonar data processing pipeline.

We invite you to bring the noise with the first CARIS Mira AI offering, the Sonar Noise Classifier!

CARIS seeks to significantly reduce the need for manual cleaning and move your data swiftly from acquisition to review. The Sonar Noise Classifier automatically identifies the vast majority of sonar noise, resulting in a reduction of manual cleaning effort by a factor of up to 10x at an accuracy of 95%.

AI technologies and cloud services are the new force multiplier to reduce Ping-to-Chart times. Let CARIS future-proof your processing pipeline.

Speaker:

Tami Francksen is the Hydrographic Product Manager at Teledyne CARIS focusing on development ideas and maintenance for HIPS and SIPS and Bathy DataBASE. She has been with the company for five years after her start as a field Hydrographer working primarily in Alaska’s Arctic region.

Burns Foster is the R&D Projects Manager at Teledyne CARIS, focusing on developing new products and services outside of CARIS' core competencies. He previously spent five years as the Product Manager for HIPS and SIPS, CARIS' flagship processing software suite.