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AI-based system automatically detects and tracks river plastics

10.20.25 | Ehime University

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Understanding how plastics flow from land to sea is essential for solving the growing problem of plastic pollution. Rivers play a key role as major transport pathways, and accurate monitoring technologies are urgently needed to achieve the “Osaka Blue Ocean Vision” declared at the 2019 G20 Osaka Summit, which aims to reduce additional marine plastic pollution to zero by 2050.

The newly developed software integrates three key technologies:

By combining these techniques, the system automatically quantifies the transport volume of floating plastics in rivers. This innovation enables continuous, simultaneous monitoring at multiple sites, including under challenging conditions such as floods—something that was previously difficult and dangerous to perform manually. In addition, because the software can distinguish plastics by type, it allows for more direct evaluation of source reduction measures and the effectiveness of waste management policies.

Moving forward, the research team plans to incorporate this software into the Plastic River Monitoring System (PRIMOS 4 ), jointly developed with Yachiyo Engineering Co., Ltd., to promote its application in real river environments. Through this effort, the team aims to:

This initiative is expected to make a significant contribution to international efforts toward a sustainable and pollution-free society.

1 Template Matching: An image recognition technique that searches for areas within an image that match a pre-prepared sub-image (template).

2 YOLOv8: The eighth version of the “You Only Look Once” object detection algorithm, a deep learning model capable of detecting and classifying objects quickly and accurately.

3 Deep SORT: An extension of the “Simple Online and Realtime Tracking (SORT)” algorithm that improves object identification accuracy by incorporating deep-learning-based appearance features.

4 PRIMOS: Plastic Runoff Identification, Monitoring & Observation System, which is a river plastic monitoring system jointly developed by Ehime University and Yachiyo Engineering Co., Ltd. Please visit the PRIMOS

website: https://info.river-monitoring.net/en/index.html

Water Research

10.1016/j.watres.2025.124678

Keywords

Article Information

Contact Information

Takuya Imaoka
Ehime University
koho@stu.ehime-u.ac.jp

How to Cite This Article

APA:
Ehime University. (2025, October 20). AI-based system automatically detects and tracks river plastics. Brightsurf News. https://www.brightsurf.com/news/1GR5O5R8/ai-based-system-automatically-detects-and-tracks-river-plastics.html
MLA:
"AI-based system automatically detects and tracks river plastics." Brightsurf News, Oct. 20 2025, https://www.brightsurf.com/news/1GR5O5R8/ai-based-system-automatically-detects-and-tracks-river-plastics.html.