Early detection of microscopic threats to healthy fish habitats

Who we are

FP AQUA is at the forefront of transforming aquaculture with innovative technology that addresses critical challenges for industry and biodiversity.

Our initial focus is on the salmon aquaculture market, providing real-time monitoring solutions to combat parasites like sea lice, micro jellyfish, and other harmful zooplankton.

The challenge we’re solving

Salmon lice significantly impact the salmon farming industry, causing increased mortality rates, compromising fish welfare, and demanding substantial financial investments.

Norway, the world's largest salmon farming industry, spends around 5 billion NOK annually on salmon lice control.

The magnitude of the problem is increasing and threatens wild fish populations and the marine environment.

Current methods involving medical treatments have in some cases lead to sea lice resistance.

“A new paradigm is emerging with dynamic preventative approaches requiring seamless integration of early warning data solutions and various methods to combat emerging biological threats.”

Frederik Taarnhøj, Co-founder FP AQUA

What we do

We detect and monitor zooplankton with AI powered sensors and advanced data analytics to enable preventive solutions and improve ocean health

Our AI-powered low-cost sensor technology detects salmon lice larvae at the copepodid stage (< 0.5mm) before they attach to the fish, enabling early warnings and timely preventative actions.

Our technology enables continuous real-time monitoring that integrates with interactive dashboards and web portals, allowing for energy-efficient measures with minimal environmental impact. 

Anticipated benefits include cost savings on lice treatments, healthier fish, and positive impacts on regional marine habitats.

  • AI Powered Sensor Technology

    LiceSensor V3 detects salmon lice larvae at the copepodid stage before they attach to the fish, enabling early warnings and timely preventative actions. Earlier than ever....

  • Low Cost

    Using off-the-shelf sensor technology and parts allows not only low cost, but also scales with future technology advancements within AI, detection and prediction, camera and sensor technology, and sustainable materials.

  • Real-time monitoring

    Our technology offers continuous real-time monitoring, allowing for activation of energy-efficient measures with minimal environmental impact. 

  • Advanced data analytics

    Simple API integration into web portals and interactive dashboards. Reporting and documentation fully integrates into your tools….

Our technology

LiceSensor V3™

LiceSensor V3™ enables early detection of sea lice larvae [SLL] and utilizes AI and machine learning to distinguish different zooplankton species.

LiceSensor™

  • Detect sea lice larvae threats earlier

  • V3 Using a 64MP camera adapted into a high-resolution underwater microscope in a waterproof housing

  • Measure at various depths

  • Types of species is expandable to monitor other harmful zooplankton like micro jellyfish

Data Platform (under development)

  • Monitor seasonal variations

  • Get access to site-to-site comparisons

  • Contribute to regional monitoring efforts

  • Reporting and documentation made easy

V3 prototype testing with our technology partners

  • June 2024 – Risø – DTU

  • June 2024 - Limfjorden - DTU Aqua

  • June 2024 - Risø - DTU

  • June 2024 - Limfjorden - DTU Aqua

FAQs

Learn more about our technology

  • The sensor is designed to monitor zooplankton and phytoplankton that displays positive phototaxis and are attracted to the sensor. Plankton serve as critical indicators of marine ecosystem health, and their monitoring provides valuable early warnings of ecological changes.

  • The sensor utilizes 420 nm light to attract zooplankton.

  • Resolution is around 3 micrometers, which means that we are able to detect and classify zooplankton and phytoplankton, that display positive phototaxis, down to 100 micrometers. The upper limit for target organisms we can target is around 3000 micrometers.

  • We train a compact inference model based on the auto clustered data, using a vision transformer for YOLO / Detectron2 object detection.

  • The submerged microscope uses a single cable for power and gigabit ethernet. Currently, all image and video data are uploaded to the shore through high-speed links. As we improve our auto-segmentation model, we'll only send the important parts of the images and videos to reduce data transfer. Eventually, our AI models will analyze the data directly on the submerged camera or an on-pen AI edge server, eliminating the need for high-speed data uploads.

  • Yes, FP Aqua can develop an API.

  • Yes, the technology can be adapted for monitoring various marine species and ecosystems beyond just salmon.

  • We provide crucial tools for assessing the state of marine ecosystems. By offering precise and continuous monitoring, the solution can identify early signs of ecological stress and evaluate the effectiveness of initiatives aimed at improving ocean health.

  • Partnerships are a critical component of our strategy. We are actively seeking additional partners for technology validation and future collaborations. We believe our technology aligns perfectly with the industry’s trend towards digitalization and partnerships.

Vacancies

Join our growing team

FP Aqua is at the forefront of transforming aquaculture with innovative technology that addresses critical industry challenges.

We invite you to join us in this exciting journey towards a sustainable and profitable future for global aquaculture.

  • We are seeking a highly skilled and motivated Lead AI Engineer to join our team. In this role, you will be responsible for designing and implementing advanced AI and machine learning systems, as well as leading the development of API and UI systems that are critical to our operations.

    You will play a key role in shaping the future of our technology and driving our mission to make aquaculture more efficient and environmentally friendly.