DEEP VISION
Realtime sampling and analysis of marine life
DEEP VISION
HARVEST CONTROL
Efficient eco-friendly fish sampling and analysis in the trawl.
Catch the valuable fish, release undersized fish, and illegal bycatch.
DEEP VISION
MARINE RESEARCH
Efficient eco-friendly fish sampling and analysis in the trawl. Record species, size, and location of fish from trawl images. No catch.
DEEP VISION
for Commercial Fisheries
Improve catch value - Reduce bycatch - Trawl more efficiently
Combine realtime fish echo sounder and fish imagery data from the trawl
Be informed in realtime of type and size of fish entering the trawl
Keep the valuable fish and release bycatch and undersized fish
DEEP VISION
for Marine Research
No catch - Just data!
Record species, size, and location of fish from Deep Vision trawl images without catch
Analyze stocks directly on your computer
Efficient eco-friendly fish sampling and analysis in the trawl
DEEP VISION
Deep Vision is based on advanced image processing and computer vision techniques integrated into a robust and innovative subsea enclosure attached to the trawl net.
It is currently available for purchase for marine research purposes with the advantage that accurate sampling data can be obtained from images without bringing the fish onboard the vessel. Deep Vision can be integrated with acoustic software to assist in the interpretation of echosounder data.
The Deep Vision system is now being developed for commercial trawl fisheries to automatically sort the catch in the trawl based on species and length of desired catch. The Commercial version will be launched in 2024.
Key Challenge
Almost 90% of global commercial fish stocks are overfished or fully exploited and 1/3 of the stocks are overfished. At the same time, we need to feed a growing population reaching 9.8 billion by 2050, and global demand for seafood is expected to double. Today's fishing methods are inefficient and unsustainable, losing approximately $83 billion a year in revenue. In order to make changes in ocean harvesting, we need to know what kind of fish and species enter the trawl before it lands on deck.
In close collaboration with our sister company Girona Vision Research (GVR), we are able to address these challenges through the development of vital computer vision, machine learning, and autonomous control technologies.
To improve catch efficiency and reduce bycatch to a minimum, the main goal is to deliver real-time fish sampling and analysis in the trawl to the global fishing industry.
SUSTAINABILITY
We base our activities on the UN Sustainable Development Goals. Through innovative new technology we work towards creating resilient solutions for a greener future.
12. RESPONSIBLE CONSUMPTION AND PRODUCTION
Making sustainable seafood more accessible
Providing sustainable catch data to ensure sustainable fish sourcing
Deep Vision will contribute by:
13. CLIMATE ACTION
Reducing the time spent at sea catching the fish
Reducing fuel consumption
Deep Vision will contribute by:
14. LIFE BELOW WATER
Reducing overfishing and bycatch
Improving the efficiency and accuracy of stock assessment
Enhancing catch documentation
Conserve and sustainably use the oceans, seas and marine resources for sustainable development.
Deep Vision will contribute by:
