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Fish Recognition Using MobileNet-V2 and MAR-Based Metaverse for an Educative Marine Life System

  • Lobna M. Abou El-Magd,
  • Ashraf Darwish,
  • Aboul Ella Hassnien

摘要

The Metaverse integrates physical and digital users, processes, and surroundings for communication, transacting, and socializing. The Metaverse is expected to support several verticals as XR technologies advance. The Future Internet, founded on the Semantic Web framework, will be transformed by its seamless integration of physical and virtual realities. Emerging wireless communication networks like 5G or 6G, Blockchain (BC), Web 3.0, AI, and Non-Fungible Tokens will help the Metaverse. Digital twins, telehealth, connected vehicles, virtual education, social networks, and financial applications may converge. MAR (Mobile Augmented Reality) allows users to access the Metaverse using their mobile devices. Users of mobile devices increasingly make use of augmented reality (AR) services to engage with the environment around them and pass the time. Metaverse scenarios including regular communications, entertainment, medical care, travel, transportation, etc. are all getting smarter MAR apps thanks to the widespread adoption of machine learning technologies for mobile devices. The suggested work illustrates a scenario wherein participants in a marine educational system are afforded the opportunity to view data pertaining to each marine organism. Blending digital and physical information in a MAR application requires fast and precise object identification. This is not a far-fetched possibility, especially given the rapid evolution of mobile and wearable gadgets (such as Google Glass and Microsoft HoloLens). Successful object identification algorithms developed by researchers have been included into mobile devices. MobileNet-v2, a pre-train model upon which an optimized model is proposed, produced outstanding results.