Projects

These are a selection of NR’s projects, both active and completed.

Vassmyra in Sørkedalen, Oslo, between Skansebakken and Lysedammene. The back part of the peatland has scattered trees, while the surrounding area is covered by denser forest. In the middle of the peatland, there is open water.
  • Earth observation
  • Climate and Environment
  • Mapping and map revision

Using deep neural networks to map wetlands (LAVDAS)
The image features the children's book
  • Digital Inclusion

A symbol library for everyone (DEMASK)
Flatlay of lots of different biscuits and cookies. Image: No Revisions via Unsplash
  • Digital Inclusion

Checklist for universally designed cookie banners
This is a satellite image of central Norway and Sweden showing snow cover. The image colours are black, various shades of blue and purple, and of course white.
  • Earth observation

A foundation model for smarter climate action (FM4CS)
Two individuals are playing video games together, focused on a screen outside the frame. On the left is a woman in a wheelchair, wearing a beige hoodie and black pants, with long hair gathered over her left shoulder. On the right is a man seated on the couch, wearing glasses, a red plaid shirt over a white t-shirt, and blue jeans. He appears to have Down syndrome. Both are holding game controllers and seem to be having fun while being engaged in the game.
  • Digital Inclusion

Gaming without barriers (Curb Cut)
The image shows a green Vy train in Norway, which has come to a halt at Sandefjord station.
  • Image analysis

Autonomous train operations with image analysis and machine learning (Europe’s Rail)
Universal design for Social robots
  • Information and communication technology
  • Digital Inclusion
  • Social robots

Standards for Universal Design of Robots
Elderly people is often the target of digital fraud
  • Information and communication technology
  • Digital Inclusion

Digital fraud
The image shows a black screen with fluctuating graphs which simulate market stock.
  • Statistical modelling

DNB’s total risk assessment model
The image shows a rainy day in Bergen city centre. Buildings are on both sides of a wet street. Foggy mountains are in the background.
  • Statistical modelling

Climate-sensitive risk modelling for water damage in buildings
The images shows a green Vy train on the railway in a Norwegian landscape. It illustrates how cameras are mounted on the front of the vehicle and what the cameras can capture (shown with different coloured triangles). The landscape is a typical Norwegian landscape with a wooden house in the background, wooded areas and snow on the ground.
  • Image analysis

Automating railway inspections (AutoKontroll)
A woman with Down syndrome and dark hair is sitting in front of a bright window in a beige armchair, in front of a modern wooden coffee table. On the table, there is a glass water carafe and a vase with dried flowers. The window is lit up by the sun, and one can see a road or a parking lot with some cars that are out of focus. The woman has headphones in her ears and a laptop on her lap, and is speaking with someone on her computer.
  • Digital Inclusion

A resource bank for disability simulation
The image shows a woman in a studio setup sitting behind a mobile camera. The camera displays footage and is in focus, while the rest of the image is less sharp.
  • Digital Inclusion

Digitally accessible health videos
The image shows an illustrated robot against a brown background. Rudimentary illustration.
  • Machine learning

How do we understand machines that talk to us?
The image shows a green, open industrial waster container (a skip) with various contents piled into it.
  • Machine learning

Smarter waste management with machine learning and radar sensors
This close-up image features a young girl with partially braided dark long hair, sitting in front of a laptop. A bowl of chocolate cookies is positioned next to the laptop. The image is focused on her hands, with the right hand interacting with the laptop keyboard, and the left hand holding a cookie with a bite taken out of it. The upper part of the girl's head is not visible as it is outside the frame of the picture.
  • Digital Inclusion

Accessible cookies
Mobile elderly
  • Digital Inclusion

Guidance for mobile elderly
Can we trust in internet of things?

Can we trust in Internet of Things?
COHIBA er et verktøy som beskriver overganger mellom geologiske lag
  • Geomodelling

Surface modelling and depth conversion (COHIBA)
  • Digital security

Adaptive health data in blockchain technology
SeisTiles is an R&D consortium, hosted by NR and sponsored by several leading energy companies.
  • Statistical modelling, Machine learning and Artificial intelligence (AI)
  • Geomodelling

A consortium for simplification of seismic data (SeisTiles)
The image shows a man in a white shirt holding an Apple iPhone. Image: Unsplash
  • Information and communication technology
  • Digital security

Developing a national framework for data management and AI in remote care
The image shows a 3d grid in different shades of white, grey and black.
  • Geomodelling

How do faults impact fluid flow within reservoirs? (HAVANA)
Aerial shot of steep cliffs against a foggy, grey sky and dark seas.
  • Geomodelling

A consortium for geological assessments of the seabed (GIG)
The image shows a closeup of a person sat at a laptop. The only part of the person visible are their hands which appear to be typing.
  • Information and communication technology
  • Digital security

A framework for decentralised identity and consent management
  • Earth observation
  • Snow monitoring
  • Climate and Environment

Snow observations for climate monitoring (Snow CCI)
Estimating vegetation height across Africa
  • Earth observation
  • Climate and Environment

Estimating vegetation height across Africa (NGVEO)
deep learning-based methods for interpreting seismic data
  • Image analysis
  • Machine learning

Deep learning for seismic data (DELI)
The image shows a school of fish in dark waters.
  • Image analysis
  • Marine image analysis

Advancing marine services with computer vision (COGMAR)
Intelligent cardiac ultrasounds
  • Image analysis
  • Machine learning

Intelligent cardiac ultrasounds (INCUS)