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 10× at an accuracy of 95%. The Sonar Noise Classifier is available from CARIS HIPS and SIPS or CARIS Onboard.
Description
The Teledyne CARIS team is committed to leveraging the latest technology for our customers with the creation of the CARIS Mira AI platform.CARIS Mira AI is a new cloud-based platform to host our current and future AI solutions. Backed by Amazon Web Services (AWS), offering a robust, scalable cloud platform means no additional desktop hardware is required to move users into the future of processing. With these evolving technologies, our AWS-certified team is focused on the safety and security of your data while it is in our care: all data directed to the CARIS Mira AI platform is anonymized, randomized and encrypted before transmission. For additional security, no data remains stored on the cloud following the AI classification process.
The Sonar Noise Classifier is our first CARIS Mira AI offering, trained to identify a variety of noise patterns from acoustic sensors. This technology significantly reduces the need for manual cleaning, leaving you to focus on what's important. The Sonar Noise Classifier is available from CARIS HIPS and SIPS or CARIS Onboard.
Do you have questions about this product?
- Questions about price, availability, and/or retailers
- Questions about technical specifications and usage
- Questions about suitability for your project or application
Specifications
-
Hardware/software requirements
-
RAM [MB]
16000
Use of GPU
N
Processor
64-bit
Stereo Display
N
Field of Use
Hydrography, Oceanography, Exploration and Production, Scientific
Languages Supported
English
-
General
-
Year of last update
2020
Year of initial introduction
2020
Supported Systems (SB, MB, SSS, Lidar etc.)
MB, phase, laser
-
Processing
-
Sound velocity correction
Sound velocity correction type
Tidal reduction
Mulitbeam Calibration mehods
Type of automatic cleaning algorithm(s)
Deep Learning/AI
-
Visualisation and Editing
-
Sounding cleaning algorithms
Deep Learning/AI
-
Files and Registering
-
Input Formates {XTF, XYZ, GSF etc}
See HIPS
Max. Number of Soundings
Infinite
Supported Hydrographic Systems
See HIPS
Background format support {Google, Bing, OGC, CAD etc.}
N/A
Documents
-
Deep Learning - Applications for Multibeam Survey1.03 MB