AI-sensing functions with spa-based 5d world map system for ocean plastic garbage detection and reduction

Abstract

The 'SPA-based 5D World Map System' realizes Cyber-Physical-Space integration to detect changes of environmental phenomena with real data resources in a physical-space (real space), map them to the cyber-space to make knowledge bases and analytical computing, and actuate the computed results to the real space with visualization for expressing the causalities and influences. This paper presents an important application of 5D World Map System, adding 'AI-Sensing' functions for 'Global Environment-Analysis' to make appropriate and urgent solutions to global and local environmental phenomena in terms of short and long-Term changes. Focusing on the ocean plastic garbage issues, this paper describes the methodology of AI-Sensing, the preliminary models and experiments on the accuracy of AI-Sensing and the substantiative experiments on the feasibility and effectiveness of AI-Sensing with real local data. In addition, the example outputs of the integration of AI-Sensing algorithm and SPA-based 5D World Map System and the future direction of a collaborative project for ocean plastic-garbage reduction are introduced.