The project addresses the growing threat posed by invasive frog species such as Rhinella marina and Polypedates leucomystax, which can rapidly spread and disrupt native ecosystems in Okinawa. Current monitoring methods rely heavily on labor-intensive field surveys that are costly, slow, and difficult to scale. To overcome these limitations, the OIST team is developing an end-to-end monitoring system based on small edge AI devices capable of identifying frog mating calls in real time and transmitting detection results to a centralized monitoring platform. By enabling continuous, automated monitoring and rapid response, the system aims to improve invasive species management while reducing operational costs and supporting long-term biodiversity conservation.