Research project

TechOceanS

Project overview

Funded through an EU Horizon 2020 Research and Innovation grant, TechOceanS will develop nine innovative technologies and methods for deep sea sensing, sample collection and on-board analysis, and AI-driven image processing and transmission.

Our role in the project is with the development of a gold-standard labelled imaging dataset to be able to train machine learning models. These ML models will then be used in diverse marine platforms to classify benthic and pelagic images. The resulting classifications will be remotely sent to shore-based operators to inform in real-time of the discoveries being made.

For more information visit https://techoceans.eu/.

Staff

Lead researchers

Professor Hywel Morgan MBE

Professor of Bioelectronics
Research interests
  • Microfluidics
  • Bio-sensors
  • Lab-on-a-chip technologies
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Other researchers

Dr Peter Glynne-Jones

Associate Professor
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Professor Blair Thornton

Professor of Marine Autonomy
Research interests
  • seafloor 3D visual reconstruction: development of deep-sea imaging hardware and processing pipelines for calibration, localisation and 3D mapping of the seafloor with full-field uncertainty characterisation 
  • automated interpretation of data: development of AI methods for rapid scalable interpretation of seafloor imagery
  • robotics: development of low-cost, long endurance seafloor imaging floats and highly intelligent and manoeuvrable robotic imaging platform for visual survey of complex environments
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Dr Daniel Spencer

Lecturer
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Collaborating research institutes, centres and groups

Research outputs