Machine Vision News

(Photo: Voyis)

Voyis Discovery Camera Integrated with Deep Trekker REVOLUTION ROV

generating high-resolution still images and IMU data. The resulting assets can be processed through edge computing to produce intricate 3D models. These capabilities find applications in intelligent ROV piloting and comprehensive inspections. The cameras produce clear stills suitable for advanced machine vision and 3D modeling, complemented by real-time image enhancement, an ultra-wide field of view (130°x130°), and distortion correction for comprehensive situational awareness. Designed with compactness in mind and incorporating integrated lights, along with DDS data architecture and ROS2 support

©DeepOcean

DeepOcean Deploys Its First Autonomous Drone for Inspection of Offshore Structures

MK2 ROV from Argus Remote Systems, with upgraded hardware and software packages. Argus is responsible for AID platform and navigation algorithm. DeepOcean is responsible for the digital twin platform, mission planner software and live view of the AID in operation, while Vaarst is responsible for machine vision camera “Subslam 2x” for autonomous navigation and data collection.The AID measures 1.25 x 0.85 x 0.77 meters and weighs 320 kilograms in air and can operate in water depths down to 3,000 meters.The inertial navigation system selected from Sonardyne is the Sprint Navigator mini 4K

©Nauticus Robotics

Nauticus Robotics' Robotic AI Mine-Detection Project Passes First Phase at Defense Innovation Unit

that its novel implementation included a robot capable of not only swimming, but also crawling out of the surf and onto the beach. "The solution utilizes the company’s autonomous command and control software platform, ToolKITT, and combines several mature technologies such as machine vision, autonomous mission planning, and acoustic data networking onto an amphibious robotic vehicle hull that can collect intelligence and identify potential hazards. ToolKITT, which also serves as the foundation of Nauticus’ flagship robot Aquanaut, was specifically designed to enable autonomous

Credit: Voyis

Voyis Launches Advanced Vision System for Subsea ROVs

capability in underwater exploration and inspection applications. The Discovery Vision Systems represent a significant leap forward in the performance of ROV vision systems, delivering simultaneous 4K video and 3D data streams. We believe this system will become the standard platform for underwater machine vision and autonomy, helping to advance a revolution in subsea robotics."  

Image courtesy Vaarst

Vaarst Launches SubSLAM X2 in US Subsea Market

which can operate in depths down to 2000m and three systems which will operate in shallower waters down to 300m.  A 6000m capable system is expected to be available from Q3 2023.Mounted on any ROV carrying out a visual inspection, SubSLAM can record all data in a single flight. Equipped with machine vision sensors and fast onboard processors, 3D reconstructions are modelled while high resolution 4K video footage is being captured.Alternatively if work has to be carried out over a longer period of time, multi-session dives can be carried out, with SubSLAM’s ability to recommence surveying

STL’s Autonomous Synchronised Stabilised Platform being put through its paces at the University of Plymouth’s COAST Laboratory. Photo courtesy STL

Tech File: A Robotic Reach in Offshore Wind

USV, to another moving object?This is the synchronous stabilisation the company has been working on, or its Autonomous Synchronised Stabilised Platform (ASSP), that’s had European Regional Development Fund through the Marine-I programme in Cornwall, where the company has another base. It adds machine vision to synchronise the payload motion with the moving target, so that, whatever motion the articulated arm is experiencing, the end of the arm has no residual motion with regard to the moving (floating) object it’s synchronising with.This could be used from ships for launch and recovery of

(Photo: Oceanology International Americas)

Oi Americas to Host Product Launches and New Technologies

;Ready for launch at OiA, Arctic Rays’ new, 1,000m rated, subsea surveillance system comprises topside hardware with video management software and subsea hardware for networking of lights, cameras, and pan-and-tilt units. We’re also particularly proud of Yellowfin, the company’s new machine vision system, and our own pressure relief valve, Barnacle. Almost ready for launch is a new battery-powered camera option for Mako, our existing camera that films in 4K/UHD, FHD and HD. Plus, there are a couple of other new products in earlier-stage development that we can’t yet reveal publicly

Photo courtesy Arctic Rays

Arctic Rays Debuts 4 New Products

Arctic Rays released four new products in its suite of subsea technologies. Now available are:• YellowFin, the machine vision payload for turnkey seafloor imaging: The company's newest machine vision system, YellowFin, is a fully integrated, turnkey imaging payload for small AUVs. It offers georeferenced digital 4K still-image and video capture as well as high-output, dual-mode lighting (strobe and continuous torch). With an onboard CPU and SSD storage, this payload is an all-in-one solution. It can be rated to 1,000 or 6,000 meters and is available as a standalone system or as an OEM version

STL’s Autonomous Synchronised Stabilised Platform being put through its paces at the University of Plymouth’s COAST Laboratory. Photo from STL

A Robotic Reach in Offshore Wind

or USV, to another moving object?This is the synchronous stabilization the company has been working on, or its Autonomous Synchronised Stabilised Platform (ASSP), that’s had European Regional Development Fund through the Marine-I program in Cornwall, where the company has another base. It adds machine vision to synchronize the payload motion with the moving target, so that, whatever motion the articulated arm is experiencing, the end of the arm has no residual motion with regard to the moving (floating) object it’s synchronizing with.This could be used from ships for launch and recovery of

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