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Teledyne CARIS www.teledynecaris.com
Teledyne CARIS has been an innovator in the marine
GIS community for more than 40 years. The CARIS toolset provides optimization and realizes true op- erational advantages. Teledyne CARIS’ Ping-to-Chart portfolio features a comprehensive suite of products for processing of raw survey data through to the pro- duction and distribution of hydrographic data through new Cloud services. Teledyne CARIS has ventured into ef? ciency-realizing arti? cial intelligence with its new
CARIS Mira AI platform.
Sun? sh Inc.
Research on Arti? cial Intelligence (AI) has seen ex-
Austin, Texas – www.sun? shinc.com ponential growth due to breakthroughs in a subdomain
Sun? sh Inc. is a leader in development of hovering au- called Deep Learning. Deep Learning algorithms allow tonomous underwater vehicles for exploration and in- us to teach a computer to achieve tasks that only humans spection. Sun? sh is a person-portable, 6DOF machine were previously able to do. Taking advantage of access that moves in any direction, assumes any orientation, and to large repositories of digital data, powerful comput- independently rotates about any axis. This maneuverabil- ing infrastructure including Graphical Processing Units ity allows Sun? sh to sense the environment, acquire data, (GPUs) and domain expertise, CARIS is training Deep and build full 3D maps in ways previously unattainable to
Learning algorithms to tackle key challenges in hydro- improve navigation and location accuracy using feature graphic data processing. CARIS Mira AI brings these recognition. This capability enables onboard behavioral advancements directly to work? ows while retaining a autonomy, allowing Sun? sh to undertake unguided mis- seamless user experience across our product line.
sions. The system is optimized for low-logistics opera-
The CARIS Mira AI initial offering is the Sonar Noise tions, enabled by its light weight (<50 kg) and compact
Classi? er, which applies its AI algorithm to identify and size. Sun? sh deployed alongside the 2015 NASA AR- clean up to 90% of sonar noise speeding up delivery
TEMIS AUV under ice in Antarctica, conducted the ? rst time on data processing. Backed by Amazon Web Ser- fully autonomous exploration of a ? ooded subterranean vices (AWS), offering a robust, scalable cloud platform labyrinth in 2017 at Peacock Springs, Florida, and in means no additional desktop hardware is required to 2019 explored the largest subterranean lake on the planet, move users into the future of processing.
Dragon’s Breath in Namibia.
With these evolving technologies, the AWS-certi? ed
In August 2019, Sun? sh embarked on a National Geo- team is focused on the safety and security of customer graphic Society expedition to explore Dragon’s Breath. data while it is in our care: all data directed to the CA-
Faced with depths and ranges that exceeded the capabil-
RIS Mira AI platform is anonymized, randomized and ities of diving technology, divers ultimately abandoned encrypted before transmission. their efforts to survey the cavern and its full extent re- mained a mystery.
Sun? sh currently offers two classes of vehicle: Sun- ? sh Explorer and Sun? sh Imager. Sun? sh Explorer is an all-acoustic geometric mapping vehicle. Sun? sh Imager is a mapping and imaging vehicle using laser mapping technology with optical overlay. All Sun? sh vehicles are offered in either 200m or 1,000m depth rating. Standard range is 5 km and 10 km with an upgraded battery. Sun- ? sh carries as standard equipment a 480 beam, 240 kHz multi-beam sonar and an HD forward-looking, bow- mounted camera. Sun? sh is designed to operate in four distinct modes: fully autonomy, supervised autonomy, actionscript, and ROV mode. www.marinetechnologynews.com
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