Category Archives: Fisheries

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)!

Pelagic fish project with IMR

Mohn Technology and the Norwegian Institute of Marine Research (IMR) are working together to create new tools to improve the accuracy of purse seine fisheries. The project consists of many technological advancements, and Mohn Technology will contribute with our machine vision and remote controlled vehicle knowledge.

The results will help the fishing industry increase their pre-catch knowledge about the fish and improve profits. The tools can also be used by researchers who wish to learn more about the pelagic fish population.

Stereo camera accuracy testing with IMR

Mohn Technology is currently testing an underwater stereo camera system with Institute of Marine Research. The accuracy testing performed this time was done by comparing the distance between the white dots on a calibration bar to the camera based measurements. The distance between the dots is 596,4 mm, and most measurements had a margin of error around 0,5%

These kinds of tests are important to verify the hardware accuracy under different conditions and improve software. Underwater machine vision measurements are more complex due to the poor light and contrast. The underwater stereo camera is a compact version of what is used in the autonomous Fish Research System (FRS)