Use Case: Aquatic Litter Drones

Litter Assessment: Identify Floating Plastic for a Cleaner Future

AI-powered plastic litter counter: from drone footage to cleaner waters

Overview

The service provides an operational environment at the iMagine platform for the detection and quantification of plastic litter floating on the water surface. It allows users to ingest drone footage of their area of interest to get back an analysis of the presence and count of litter items. 

Aquatic Litter Monitoring system offers precise, AI-driven analysis for accurately assessing aquatic litter, enabling targeted pollution control.

The Aquatic Litter Monitoring system ensures consistent, standardized litter datasets by automating image processing, empowering efficient decision-making and environmental action.

Aquatic Litter Monitoring system’s user-friendly approach extends to citizen scientists, fostering widespread involvement and awareness for a cleaner aquatic environment.

Main Features

  • AI model and processing methodology available on the iMagine Marketplace
  • Users can download the docker image and adjust it to their specific settings 
  • The service utilises the OSCAR instance operated by iMagine as an inference service to invoke the model from an external application portal 
  • Possibility to use the service with minimal skills, resulting in lower usage barriers for potential users.
  • No authentication is required for DockerHub
  • Access to OSCAR on the iMagine AI Platform through the EGI Check-in service

How to Use the Service

Sample Results

Check the sample input images, their resulting classification plots, and the tabular results of the classification.

Explore the AI Models Underlying the Services