DEEP VISION
Record and analyze species, sizes, and locations of fish in real-time
Proactive Decision Support
Deep Vision CamSounder delivers real-time catch data, aiding proactive crew decisions
Real-Time
Fish Measurement
CamSounder identifies and measures fish species and sizes in real-time
Improved
Catch Value
CamSounder boosts catch value, reduces bycatch, and supports sustainable fishing
DEEP VISION
for Commercial Fisheries
Improve catch value - Reduce bycatch - Trawl more efficiently
Combine real-time 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
For more efficient and sustainale reserach
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
Know your Catch!
CamSounder leverages advanced imaging and machine learning algorithms to accurately measure and identify fish species and sizes in real-time
CamSounder
Know your catch
Ai powered Trawl Sensor
CamSounder is an advanced AI-powered trawl sensor operating wirelessly
Proactive Decision Support
CamSounder delivers real-time catch data, aiding proactive crew decisions
Real-Time Fish
Measurement
CamSounder identifies and measures fish species and sizes in real-time
Improved
Catch Value
CamSounder boosts catch value, reduces bycatch, and supports sustainable fishing
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 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 interpreting 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 fishery version will be commercially available in the end of 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:
