SpectralWaste Dataset: Multimodal Data for Waste Sorting Automation

Casao, Sara (Universidad de Zaragoza) ; Peña, Fernando (Universidad de Zaragoza) ; Sabater, Alberto ; Castillón, Rosa ; Suárez, Darío (Universidad de Zaragoza) ; Montijano, Eduardo (Universidad de Zaragoza) ; Murillo, Ana C. (Universidad de Zaragoza)
SpectralWaste Dataset: Multimodal Data for Waste Sorting Automation
Resumen: The increase in non-biodegradable waste is a worldwide concern. Recycling facilities play a crucial role, but their automation is hindered by the complex characteristics of waste recycling lines like clutter or object deformation. In addition, the lack of publicly available labeled data for these environments makes developing robust perception systems challenging. Our work explores the benefits of multimodal perception for object segmentation in real waste management scenarios. First, we present SpectralWaste, the first dataset collected from an operational plastic waste sorting facility that provides synchronized hyperspectral and conventional RGB images. This dataset contains labels for several categories of objects that commonly appear in sorting plants and need to be detected and separated from the main trash flow for several reasons, such as security in the management line or reuse. Additionally, we propose a pipeline employing different object segmentation architectures and evaluate the alternatives on our dataset, conducting an extensive analysis for both multimodal and unimodal alternatives. Our evaluation pays special attention to efficiency and suitability for real-time processing and demonstrates how hyperspectral imaging can bring a boost to RGB-only perception in these realistic industrial settings without much computational overhead.
Idioma: Inglés
DOI: 10.1109/IROS58592.2024.10801797
Año: 2024
Publicado en: Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems 2024 (2024), 5852-5858
ISSN: 2153-0858

Factor impacto SCIMAGO: 0.681 - Computer Science Applications - Software - Control and Systems Engineering - Computer Vision and Pattern Recognition

Financiación: info:eu-repo/grantAgreement/ES/DGA/T45-23R
Financiación: info:eu-repo/grantAgreement/ES/DGA/T58-23R
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2021-125514NB-I00
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2022-136454NB-C22
Tipo y forma: Artículo (PostPrint)
Área (Departamento): Área Arquit.Tecnología Comput. (Dpto. Informát.Ingenie.Sistms.)
Área (Departamento): Área Ingen.Sistemas y Automát. (Dpto. Informát.Ingenie.Sistms.)

Dataset asociado: SpectralWaste Dataset: Multimodal Data for Waste Sorting Automation ( 10.5281/zenodo.10880543)

Derechos Reservados Derechos reservados por el editor de la revista


Exportado de SIDERAL (2025-10-17-14:24:11)


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Este artículo se encuentra en las siguientes colecciones:
Artículos > Artículos por área > Máster Universitario en Ingeniería de Sistemas y Automática
Artículos > Artículos por área > Arquitectura y Tecnología de Computadores



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