Category Archives: Research

PIT system test integration

We just installed a PIT-tag reader (Passive Integrated Transponders) in Frøyset river. Reserachers have had noise issues at this location earlier, as the antenna is very sensitive to electro magnetic interference. We have made the system compatible with our FRS portal, where the tag readings are automatically added to our database and linked to fish video data. The new antenna had no issues with noise, and testing showed that it was sensitive enough to detect the smalles PIT tags.

We also upgraded the FRS camera located at the top of the fish ladder. This location is very hard to reach, as the whole dam and fish ladder is encased in water most of the time, and servicing the camera would be very high risk.

As the weather has been dry for weeks, there is very little water in the river the camera was pretty easily accessable. The camera now has the newest hardware and our state of the art anti fouling system, something especially usefull for hard to reach locations with high growth rates.

Picture below illustrates how massive the river can grow. The photo is taken by Sigmunn Rørvik, and shows how both the dam and fish ladder is completely engulfed in water.

We are looking forwards to getting more research data from this location!

Great results for our BSc students!

We have had the pleasure to work with Erling Flåm Krogsrud, Markus Tønnessen and Bjørnar Torsvik Størkersen from HVL this semester. The students have worked on analysing and optimising a new hydrodynamic configuration of our Sentinel Inspection Drone.

The students have worked from our office one day per week, and have had hands-on experience with testing equipment in our workshop and in the sea right outside our office. The project included both CFD (computational fluid dynamics) and FEA (finite element analysis) simulations. We have been very pleased with their effort, and the project resulted in top grades, with an A.

We wish them best of luck with their upcoming masters degree studies at NTNU!

FRS camera in the Bergen Aquarium Lobster tank

Researchers at NORCE are testing a new accoustic tracker with integrated IMU (Inertial measurement unit) in the lobster habitat of the Bergen Aquarium. The researchers want to compare the behaviour registered at the IMU with video of the lobster, to see how the different accelerations etc compares to actual movement of the lobster.

 NORCE asked us if we could help them with the surveillence part of the project, and within about two hours we had mounted one of our FRS cameras in the tank.

In the photo below, Håkon Norstrand (Bergen Aquarium) and Saron Berhe (NORCE) is testing different camera positions in the lobster tank.

If you are visitin the Bergen Aquarium within the next weeks, look to the left in the lobster tank to see the camera. Ps. due to internal reflection of the window, the camera cant see out of the tank through the window. This was also a requirement from Bergen Aquarium due to privacy concerns.

Video recorded from the tank below:

We are looking for summer interns and academic collaboration!

Mohn Technology is expanding our investment in self-developed underwater products for fisheries, aquaculture and research purposes. Our office is located at Laksevåg, Bergen, with a good view of the city and the city mountains. Proximity to the sea and a good workshop enable us to create or modify prototypes, as well as test equipment in the sea right outside our window.

The work will have a major focus on practical use of the subject, with hands-on work, testing and implementation. You will receive close follow-up from our engineers who have good experience with image processing, cybernetics and product development. At the same time, as part of a small company, you will be given a lot of responsibility and will have a steep learning curve.

We are currently looking for skilled students who are passionate about their work, to join our small but resourceful team in 2023. We would like to combine a summer job with a subsequent project and master’s thesis, and are also looking for graduates for a full-time position. For summer internships, fourth year masters students and second year bachelor students will be prioritised. Info about previous student relations can be found here!

Typical tasks

  • Develop control algorithms for ROV/AUV
  • Use of mono/stereo camera to control/navigate ROV/AUV
  • Use of a stereo camera for object recognition and estimation of sizes
  • Use deep learning and develop/train an algorithm for recognizing certain objects
  • Develop an intuitive GUI for underwater drones, for both image analysis and control.
  • Frontend development with close customer contact

Learning outcome for the student (when writing a master’s thesis)

  • Development of modern camera and image technology that is relevant to business
  • Experience with control systems for underwater robots (ROV/AUV)
  • Practical experience with the development of products where camera systems interact with mechatronics
  • Gain experience with the development and practical use of deep learning, especially in image segmentation
  • Experience with testing prototypes

Our wish list:

  • Experience with and interest in machine vision and relevant libraries
  • Experience with or interest in Deep learning and CNN.
  • Experience with or interest in Javascript (Vue.js)
  • C/C++ / Golang / Python
  • Practical and interested in working closely with prototypes
  • Interest in or experience with ROS (Robot Operating System)

Contact magnus (at)!

Finished master projects with NTNU and UiB

Brage Alvsvåg just finished his masters thesis at Department of Informatics at UiB. The title was “Improving fish detection using efficient neural networks”, and the project was done in association with Mohn Technology using our dataset. In his project, Brage tested different ways of improving our fish detection AI, with different kinds of neural networks and post-training quantization he managed to develop some promising algorithms that might proove to be very useful for us. We are looking forwards to testing out these strategies in real life operations in the coming months!

Håvard Ullaland also finished his master thesis this summer at Department of Engineering Cybernetics at NTNU. Håvards project was titled “Positioning and localization for underwater vehicle in fish pen using VSLAM”, and the work is related to our automatic net inspection tool that is supported by FHF. Håvards contribution to the project is related to navigate based on machine vision and IMU (Inertial measurement unit). The localization algoritms use the input from the machine vision and sensors to estimate where it is, and where it is going. If we succeed in only using VSLAM (Visual simultaneous localization and mapping) algoritms we can reduce the hardware cost and complexity of the system, and it will also require less setup of hardware on site before operation.

The photos above shows the stereo camera navigational points on the net to the left, and the right shows the algorithms estimated travel route along the net pen. The results are very promising.

After the masters thesis was delivered Håvard started working for us full time on the project, and will continue his work on underwater localization and navigation.  

Humpback salmon research at Tana Bru

In cooperation with Tanafisk we have installed a dual FRS camera pole in the Tana River. The humpback salmon mainly enters the rivers every other year, where they reproduce and die. The system will be used to verify the efficiency of the guide fence so that we are ready for the 2023 season where we expect a large invation of the humpack / pink salmon.

The humpback salmon is an invasive species in Norway, and the problem is spreading from the northern parts of Norway from Russia. Local fishing associations and river authorities have done a heroic job in 2021 and caught tens of thousands of fish based on volantary work.

Mohn Technology is working on a automatic fish trap that is based on our machine vision and underwater technology experience. We hope the system will be able to stop the spread of the invasive species and protect our own wild salmon, while also generating value from the catch. More info to come!

Installation in progress

New research equipment for remote areas

The decline in stocks of sea trout and wild salmon on the west coast of Norway has highlighted the need for a autonomous, non-destructive sampling method. For this reason, fish biologist at NORCE LFI are currently developing a trap with the overall goal of recording wild fish for research or conservation purposes.

Mohn Technology contribute with our high resolution FRS camera applying AI to detect passing fish. This new solar powered surveillance system was just deployed at Dale, Norway. The camera system is designed to use as little power and data traffic as possible, and the solar system was assembled and tested at Mohn Technology before deployment.

The system allows the researchers at NORCE LFI to get information about fish population and migrations directly to their computers from remote areas without access to electricity, and we hope more systems like this can aid research in this important field.

New FRS camera in the water

NORCE Research has installed a new FRS camera in the Bolstad River. It was important to get the system up and running before the spring flooding due to snow melting.

The system was installed by NORCE field biologists, who bolted the durable stainless steel frame to a large boulder . The boulder was then moved to deeper waters. The frame / bracket is designed to withstand heavy impacts by objects that float down the river.