Image Detection AI for Smart Marine Life Survey

Abstract

Marine life survey up to a depth of ∼20m is conventionally conducted using a belt transect method that relies on human divers. This paper describes a new technology and experimental results of a marine life survey system that uses image detection AI. This system automatically creates a database of the growth and distribution of fishes and coral leaf. Consequently, more detailed surveys of marine life can be conducted over larger areas of ocean.