oceanography.dev
#Oceanography | Applications
#SEA.AI | Detecting floating objects early | Using thermal and optical cameras to catch also objects escaping conventional systems such as Radar or AIS: Unsignalled crafts or other floating obstacles, e.g., containers, tree trunks, buoys, inflatables, kayaks, persons over board | System computes input from lowlight and thermal cameras, using Machine Vision technology, deep learning capabilities and proprietary database of millions of annotated marine objects | High-resolution lowlight and thermal cameras | Real-time learning of water surface patterns | Searching for anomalies | Distinguishing water from non-water | Comparing anomalies with neural network | Recognize objects by matching combination of filters | Augmented reality video stream combined with map view | Intelligent alarming based on threat level | Detecting persons in water | On-board cameras with integrated image processing | Providing digital understanding of vessel surroundings on water | SEA.AI App on smartphone or tablet
#SailDrone | Ocean Data Solutions with Autonomous Surface Vehicles
#Data Cosmos | MultiSatellite Data Platform | Open Cosmos
#Navy | Naval Meteorology and Oceanography Command (CNMOC)
#Bigelow Laboratory For Ocean Sciences In Maine | Independent, nonprofit research institute
#Bermuda Atlantic Time Series Study | Collecting data on hydrographic, chemical, and biological parameters throughout the water column at multiple sites within the Sargasso Sea
#Argo | Collecting information from inside the ocean using a fleet of robotic instruments that drift with the ocean currents and move up and down between the surface and a mid water level | Floats (instruments) spend almost all their life below the surface | Observing ocean data related to climate change
#European Space Agency(ESA) | AIDMAP | AIR SOS | BLUE | DL4PlasticLitter | DOLPHINN | HyperDrone | MARLISAT | MUSS2 | Ocean Scan | Plastic Litter Project
#MDI | High Powered Optical Instruments On Floats
#University Of Technology Sydney In Australia | Research
#OceanCleanup | Great Pacific Garbage Patch (GPGP) cleaning and analysis
#ICEYE | Synthetic aperture radar (SAR)
#General Atomics | Air to Air Laser Communication System | Crosslinks from aircraft to other platforms such as unmanned aircraft, maritime vessels, and space systems
#SatelIoT | IoT connectivity over standard 5G NB-IoT
#WWF | Halting and reversing biodiversity loss | Conserving land, freshwater and ocean globally | Protection of intact ecosystems | Tackling unsustainable production | Eliminating subsidies harmful to nature | Reducing the unsustainable footprint of production and consumption
#Aqualink | Ocean conservation technology | Autonomous Surface Vehicle(ASV) kit | ROS | Pixhawk | NVIDA Jetson GPU | Solar powered smart buoy
#Seakit International | MaxLimer | Uncrewed surface vessel
#ESA | Jupiter Icy Moons Explorer | Ganymede | Callisto | Characterisation of the ocean layers and detection of putative subsurface water reservoirs
#University of California Santa Barbara | High Seas Treaty
#Pew Charitable Trusts | High Seas Treaty
#Marine Conservation Institute | High Seas Treaty
#Natural Resources Defense Council (NRDC) | High Seas Treaty
#OceanCare | High Seas Treaty
#Center for Oceanic Awareness, Research, and Education (COARE) | High Seas Treaty
#BirdLife International | High Seas Treaty
#IUCN | High Seas Treaty
#World Economic Forum | High Seas Treaty
#High Seas Alliance | High Seas Treaty
#Princeton University | Archeoligical Oceanography
#EuroGOOS | Operational Oceanography
#Intel | Neuromorphic computing
#NASA Jet Propulsion Laboratory | Ocean observations from space | The rate of sea level rise is increasing | NASA Sea Level Change science team | CNES | Annual sea level observations and future projections | Climate change is melting Earth ice sheets and glaciers | Measurements of sea surface height
#U.S. National Oceanic and Atmospheric Administration | Radar altimeters producing more precise measurements of sea level | Observations from coastal surface based sources
#CNES | International Surface Water and Ocean Topography (SWOT) mission | Measuring the elevation of nearly all the water on Earth surface | Providing insights into how ocean influences climate change and the water cycle; how a warming world affects water storage in lakes, rivers, and reservoirs | Ka band Radar Interferometer (KaRIn) instrument
#University of Rome, Italy | Thule High Arctic Atmospheric Observatory in Greenland | Dirigibile Italia Arctic Station run by the Italian National Research Council (CNR) in the Svalbard Islands
#World Meteorological Organization | Marine heat waves research
#UK Marine Biological Association | Marine heat waves research
#UN climate science body IPCC | Marine heat waves research
#Woods Hole Oceanographic Institute | Marine heat waves research
#US National Oceanic and Atmospheric Administration | Marine heat waves research
#Rio de Janeiro State University in Brazil |Distribution of elements and nutrients that impact quantity and quality of phytoplankton in oceans
#São Paulo University | Bio-optics oceanography
#Maine In-situ Sound & Color Lab at the University of Maine | Statistical technique analyzing several variables—all the colors observed by MODIS—at once
#Advanced Navigation | AI-based marine navigation systems | AI-Based underwater navigation solutions and robotics technology | Hydrography | Underwater acoustic positioning solutions | Autonomous Underwater Vehicle (AUV) | Inertial navigation systems (INS) | Sidney, Australia
#SEA.AI App | Detecting floating objects early | Using thermal and optical cameras to catch unsignalled craft, floating obstacles, containers, buoys, inflatables, kayaks and persons over board
#Anybotics | Workforce App | Operate ANYmal robot from device | Set up and review robot missions | Industrial Inspection
#LookOut | AI vision system | Synthesized data from charts, AIS, computer vision, and cloud fusing it into one 3D augmented reality view | Connects to existing boat display | Mountable camera system to the top of any boat | Lookout App for laptop, phone or tablet | Infrared vision | Night vision sensor | Spotting small vessels, floating debris, buoys, people in water | Blind spot detection | Backup camera | Temperature breaks, bird cluster locations, underwater structures for anglers | Camera streaming over WiFi to phones and tablets on the boat | Over-the-air (OTA) updates | Marine-grade water-proof enclosure | Integrated with satellite compass | National Marine Electronics Association (NMEA) communication standard interface | Multifunction Display (MFD) | Multi-core CPU driving augmented reality compute stack | ClearCloud service | NVIDIA RTX GPU for real-time computer vision | DockWa app
#National Technical University of Athens | MariNeXt deep-learning framework detecting and identifying marine pollution | Sentinel-2 imagery | Detecting marine debris and oil spills on sea surface | Automated data collection and analysis across large spatial and temporal scales | Deep learning framework | Data augmentation techniques | Multi-scale convolutional attention network | Marine Debris and Oil Spill (MADOS) dataset | cuDNN-accelerated PyTorch framework | NVIDIA RTX A5000 GPUs | NVIDIA Academic Hardware Grant Program | AI framework produced promising predictive maps | Shortcomings: unbalanced dataset, marine water and oil spills are abundant, foam and natural organic material are less represented
#Scripps Institution of Oceanography | Part of UC, San Diego | Physical, chemical, biological, geological, and geophysical studies of oceans and atmosphere | Fleet of research vessels | Discovered new bacteria in ocean sediments capable of producing antibiotic molecules | Highlighted deep ocean as biomedical resource | Identified Cromwell Current
#National Oceanography Centre (NOC) | Marine science research and technology | Coastal and deep ocean research | Research ships | Autonomous underwater vehicles | Mission to advance oceanographic research and education | UK sites in Southampton and Liverpool
#High Seas Treaty | United Nations
#Open Ocean Robotics | Solar powered autonomous boats | Real time information to protect oceans | Sensors, cameras and communication devices capturing information | Solar powered boats can travel nonstop for months, without producing any greenhouse gas emissions, noise pollution or risk of oil spills | ASVs (Autonomous Surface Vehicle) can monitor for oil spills, detect intentional dumping
#Orca AI | FleetView for fleet operators and management | SeaPod | Artificial intelligence-based maritime navigation assistant, watchkeeper | Automated object detection and prioritization | All marine object detection | Curbing marine mammal strikes | Reducing whale mortality rates
#SeaRobotics | Unmanned Marine Systems & Engineering | Autonomous Surface Vehicles | Sensor suites
#Syracuse University | Model calculatung the amount of free hydrogen gas produced and stored beneath the seafloor | Tectonic spreading rate | Thickness of serpentinized rocks | Serpentinized rocks: greenish-brown-patterned surface resemblung snakeskin -- have been chemically altered by water as lifted up by the spreading tectonic plates in Earth crust | Molecules of free hydrogen gas produced as by-product of serpentinization process | Stacey L. Worman, Lincoln F. Pratson, Jeffrey A. Karson, Emily M. Klein. Global rate and distribution of H2gas produced by serpentinization within oceanic lithosphere
#National Technical University of Athens | MariNeXt deep-learning framework detecting and identifying marine pollution | Sentinel-2 imagery | Detecting marine debris and oil spills on sea surface | Automated data collection and analysis across large spatial and temporal scales | Deep learning framework | Data augmentation techniques | Multi-scale convolutional attention network | Marine Debris and Oil Spill (MADOS) dataset | cuDNN-accelerated PyTorch framework | NVIDIA RTX A5000 GPUs | NVIDIA Academic Hardware Grant Program | AI framework produced promising predictive maps | Shortcomings: unbalanced dataset, marine water and oil spills are abundant, foam and natural organic material are less represented
#Allen Institute for Artifical Intelligence | AI for the Environment | Robot planning precise action points to perform tasks accurately and reliably | Vision Language Model (VLM) controlling robot behavior | Introducing automatic synthetic data generation pipeline | Instruction-tuning VLM to robotic domains and needs | Predicting image keypoint affordances given language instructions | RGB image rendered from procedurally generated 3D scene | Computing spatial relations from camera perspective | Generating affordances by sampling points within object masks and object-surface intersections | Instruction-point pairs fine-tune language model | RoboPoint predicts 2D action points from image and instruction, which are projected into 3D using depth map | Robot navigates to these 3D targets with motion planner | Combining object and space reference data with VQA and object detection data | Leveraging spatial reasoning, object detection, and affordance prediction from diverse sources | Enabling to generalize combinatorially.| Synthetic dataset used to teach RoboPoint relational object reference and free space reference | Red and ground boxes as visual prompts to indicate reference objects | Cyan dots as visualized ground truth | NVIDIA | | Universidad Catolica San Pablo | University of Washington
#Marine Science Institute, University of California, Santa Barbara | Building models linking nitrogen and silicon isotope compositions to biological processes and ocean circulation | Investigating how diatoms in Southern Ocean help to decode chemical signals | Providing insight into nutrient cycling and climate interactions from past glacial periods | Research cruise focused on collecting water and particle samples | Study how diatoms build nitrogen and silicon-rich shells | Understandung how isotopic signals are produced and preserved in fossils
#University of Rhode Island Graduate School of Oceanography || Investigating diatoms in Southern Ocean | Getting insight into nutrient cycling and climate interactions | Studying how diatoms build nitrogen and silicon-rich shells | Helping scientists build models linking nitrogen and silicon isotope compositions to biological processes and ocean circulation
#VORAGO | Radiation hardened and radiation tolerant microcontrollers and microprocessors | High-volume manufacturing to harden commercially designed semiconductor component | Empowers mission success | Radiation-hardened ICs that excel in extreme environments | ARM | Texas Instruments | Brainchip | Custom hardware and firmware solutions tailored to withstand extreme environments | Ensuring that mission-critical components remain resilient | Custom solutions, armed with space-grade electronics and an ARM Cortex microcontrollers | International Space Station: dies measuring the effects of protons and cosmic rays | Satelites: devices utilized in Department of Defense Space Test Program (STP) missions | CubeSats: ARM microvontroller | Semiconductor components and solutions for extreme temperature environments up to +200°C
#MemryX | Edge accelerated AI System software | SDK APIs for efficient AI processing | Hardware | Compile AI model(s) making executable file | PCIe or USB interface | x86, ARM, RISC-V processors | Windows, Linux operating systems
#Virginia Institute of Marine Science (VIMS) | Research
#NVidia | Dexterous robot development | Manipulating objects with precision, adaptability, and efficiency | Fine motor control, coordination, ability to handle a wide range of tasks, often in unstructured environments | Key aspects of robot dexterity include grip, manipulation, tactile sensitivity, agility, and coordination | Robot dexterity development for manufacturing, healthcare, logistics | Dexterity enabling automation in tasks that traditionally require human-like precision
#e-con Systems | Camera solutions for NVIDIA platforms | Full HD Global Shutter Camera for Jetson AGX Orin | Jetson AGX Orin: 64GB module, 275 TOPS with power configurable 15W and 60W | Multiple 4k ultra-lowlight camera for NVIDIA Jetson AGX Orin | Global shutter | Rolling shutter | Autofocus and fixed focus | High resolution and frame rate | High dynamic range | High sensitivity in both visible and NIR regions | Superior color reproduction | MIPI and GMSL2 interfaces | Camera SDK configured to support Isaac SDK | Multi-camera support | NVIDIA Isaac GEMs ROS: GPU-accelerated packages for ROS2 application | Isaac ROS GEMs help to assess camera position with regard to its starting point | Isaac ROS GEMs empower robotic applications to maneuver and navigate through complicated environments | Installing ROS 2 requires Ubuntu 20.04 | Board cameras | USB 3.0 cameras | Autonomous mobile robots, autonomous shopping
#NASA Goddard Space Flight Center in Greenbelt, Maryland | PACE mission | Ocean Color Instrument | Detecting more than 280 wavelengths of light | Finer detail | Better insights into ocean color and type of plankton satellite can spot | Dramatic improvements in the detection of zooplankton and phytoplankton | Captured swirling green phytoplankton blooms in Gulf of Maine in April 2024 | Such blooms fuel zooplankton like Calanus finmarchicus | Detecting better copepod Calanus finmarchicus in Gulf of Maine and estimating their numbers from space
#Norwegian Institute of Marine Research | Arctic Sea research
#Norwegian Polar Institute | Icebreaking research vessel Kronprins Haakon | Arctic Sea research
#Simrad | Marine Chartplotters | Autopilots | Radar | Beam sharpening technology | ZoneTrack | Halo Dangerous Target Alerts | Bird+ Mode
#OndoSense | Radar distance sensor | Sensor software: integrated into control system or used for independent quality monitoring | Object detection | Distance measurement | Position control | Agriculture: reliable height control of the field sprayer | Mining industry | Transport & Logistics | Shipping & Offshore | Mechanical and plant engineering | Metal and steel industry | Energy sector | Harsh industrial environments | Dust & smoke: no influence | Rain & snow: no influence | Radar frequency: 122GHz | Opening angle: ±3° | Measuring range: 0.3 – 40 m | Measuring rate: up to 100Hz | Output rate: up to 10 ms / 100 Hz | Measurement accuracy; up to ±1mm | Measurement precision: ±1mm | Communication protocol: RS485; Profinet, other interfaces via gateway | Switching output: 3x push-pull (PNP/NPN) | Analogue output: Current interface (4 – 20 mA) | Protection class: IP67
#Untether AI | Accelerating AI inference | PCI-Express form factor and power envelope | Over 2 PetaOps per card | Accelerator card | AI chip | Intel backef | Toronto, Canada
#Wartsila | Marine autonomy solutions
#Seaber | Micro-AUVs | Down to 300m depth |8-10 hours autonomy | Weighing 10kg | Measuring 1m long. | Commercial oceanographic applications | Surveillance
#OLogic | Robotics | Pumpkin Pi i350 EVK | Edge AI platform | Designed for mainstream AI + IoT applications | Vision and voice edge processing | Facial, object, gesture, motion recognition | LPR, voice activation and speed recognition | Sound isolation, bio-tech and biometric measurements
#Blue Atlas Robotics | Self-operating service robot that performs underwater surveys | Shared data platform collecting data from selected Nordic vendors of airborne and subsea drone systems | Sentinus 2 robot live-streamed high-quality underwater data during subsea surveillance operation using 5G in controller unit | Smultaneous aerial streams, enabling comprehensive surveillance solution that covered both above and below water | With minimal equipment, mission preparation becomes effortless, offering greater flexibility | Vision-lock to target for efficient mission ensuring the best quality of data | Point clouds | 3D models | Underwater assets managrment | Visual inspection outputs for vessel bottoms | In-water propeller inspections | Sea chest inspections | Inspecting bow thrusters