R&D

The DeepRun project consists of three actions:

Action 1: Design of a multi-scale image recognition tool

• Bibliography on multi-scale Deep Learning image recognition tools
• Development of a scientific tool specific to the conditions of the Reunionese territory
  • Operation of hydrogen converters in a tropical environment (humidity and temperature)
  • Diversity of Reunionese cultures and steep relief
• Creation of databases with satellite images (Pléiades) and new truth maps from the DEAL REUNION / IGN
• Creation of databases for hydrogen converters

Action 2: Application to the recognition of land use on a landscape scale

• Detection of crop types and generation of fine maps of land use (1 per year)
• Cross-referencing of maps (risks, deposits, uses) for photovoltaic decision making

Action 3: Application on a microbubble scale at the electrochemical cell scale

• Creation of databases and detection of bubbles/droplets, then determination of operating regimes
• Coupling of the obtained spatial distributions to models and design of a multimodal diagnostic tool