- Science & Research-Robotics
- sensor processing expertise
- oil and gas
CAPITOLA CA 95010
Triton Imaging is a global provider of software solutions for the marine survey industry. Triton products are used by commercial, scientific, and military organizations worldwide to acquire, process, visualize, and interpret data from sidescan, multibeam, seismic, and swath bathymetry systems.
Founded in 1983 Triton has built a loyal, worldwide community of customers that use its software in a wide variety of applications including: hydrographic survey, mine countermeasures, marine archaeology, commercial search and survey, oil and gas engineering, underwater marine/port security, fisheries research, academic research, and marine habitat mapping.
In 2010, Triton was acquired by ECA and is now a member of ECA Robotics business unit. Triton and ECA engineers are working together to integrate Triton software products and technology into ECA Robotics products.
In addition to projects with ECA, Triton continues to successfully pursue its core business to deliver seafloor imaging software products and custom solutions to its established government and commercial customers.
The collaboration with ECA will bring new business opportunities and the strength of a large global corporation to Triton. This, coupled with its global branding, sensor processing expertise, cutting-edge products, and the experience and creativity of the its staff insure a long and successful road ahead for Triton.
Triton’s new Perspective software incorporates the latest in software technology in a unique application that supports the processing, visualization, and fusion of the three main sonar types: sidescan, multibeam, and subbottom profiler in a common map-based, GIS environment. The integrated capabilities of this one application eliminate the need to use different software packages, and the attendant difficulty of moving data from one to the other, in projects that involve the production processing and interpretation of large multi-sensor, multi-temporal survey data sets.