A Plastic Waste Hotspot Detection System and Its Application to Measuring Environmental Improvement

This paper describes a Plastic Waste Hotspot Detection System which has been developed in an international collaborative research project to realize an "Environmental AI-Human Actions integration" with marine plastic waste reduction actions. In this project, various local conditions are ob...

Full description

Saved in:
Bibliographic Details
Main Authors: Sasaki, Shiori, Nakamura, Ryota, Wibowo, Prasetyo
Format: Conference Proceeding
Language:English
Subjects:
Artificial intelligence
Collaboration
Eco-system
Environmental management
Environmental Preservation
Knowledge Sharing
Machine Learning
Mangrove
Marine Environment
Object Detection
Plastic waste
SDG 14
SDG 5
SDGs
Visualization
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper describes a Plastic Waste Hotspot Detection System which has been developed in an international collaborative research project to realize an "Environmental AI-Human Actions integration" with marine plastic waste reduction actions. In this project, various local conditions are obtained to the system to realize an environmentally resilient society. The nature conservation activities such as marine plastic waste collection and reduction actions are implemented based on these conditions. In the process of integration of Environmental AI and Human Actions, the effects of these activities and activists' contribution to environmental improvement and global-scale knowledge are accumulated, shared, analyzed, and visualized through global-scale analysis. This paper describes the Plastic Waste Hotspot Detection system as one of the systems that integrate AI systems and human actions. This paper examines the feasibility and effectiveness of the system through the fieldwork tests in Phuket, Thailand and Surabaya, Indonesia.
ISSN:2159-1423
DOI:10.1109/ISCT62336.2024.10791172