Our research team have built several models for underwater object detection, tracking, feature extraction, implementation and semantic segmentation of images. AmphibiousAI’s core vision is to use Artificial Intelligence for both land and underwater travel and tourism. With the use of computer vision, deep learning and neural networks, Artificially Intelligent cars will be able to command and operate the autonomous vehicle smoothly underwater.
Our research team have worked on the concepts of magnetohydrodynamic propulsion for electric cars to be used for underwater applications. This technology converts electrical energy to seawater kinetic energy. Advantages of using such a technology are high speed and no noise. AmphibiousAI cars will be using the concept of MHD channels for underwater travel purposes.
Using high efficient graphene-based solar panels as a source of power will greatly enhance longevity and will be used for energy harvesting. The absorption of sunlight above and underwater makes graphene-based solar panels applicable to aquatic electric vehicles. Our research team have worked on the concept of using graphene on the solar panels for amphibious cars. For underwater, we are using multiple semiconductors of different band gaps to absorb light of different wavelength.