Teledyne Geospatial Sonar Noise Classifier
$ 0,00
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.
Additional information
| Year of last update | 2020 |
|---|---|
| Max. Number of Soundings | Infinite |
| Addres | Teledyne Geospatial 300 Interchange Way L4K 5Z8 Vaughan Canada |
| Brand | Teledyne Geospatial |
| Type of automatic cleaning algorithm(s) | Deep Learning/AI |
| Sounding cleaning algorithms | Deep Learning/AI |
| Background format support {Google, Bing, OGC, CAD etc.} | N/A |
| Supported Hydrographic Systems | See HIPS |
| Input Formates {XTF, XYZ, GSF etc} | See HIPS |
| Year of initial introduction | 2020 |
| Languages Supported | English |
| Field of Use | Hydrography, Oceanography, Exploration and Production, Scientific |
| Stereo Display | N |
| Processor | 64-bit |
| Use of GPU | N |
| RAM [MB] | 16000 |
| Supported Systems (SB, MB, SSS, Lidar etc.) | MB, phase, laser |
| URL |
