Takuji Noda, Takuya Koizumi, Naoto Yukitake, Daisuke Yamamoto, Tetsuro Nakaizumi, Kotaro Tanaka, Junichi Okuyama, Kotaro Ichikawa, Takeshi Hara
The underwater environment is filled with various sounds, with its soundscape composed of biological, geographical, and anthropological sounds. Our work focused on developing a novel method to observe and classify these sounds, enriching our understanding of the underwater ecosystem. We constructed a biologging system allowing near-real-time observation of underwater soundscapes. Utilizing deep-learning-based edge processing, this system classifies the sources of sounds, and upon the tagged animal surfacing, it transmits positional data, results of sound source classification, and sensor readings such as depth and temperature...
March 16, 2024: Scientific Reports