Versatile waste sorting in small batch and flexible manufacturing industries using deep learning techniques

Versatile waste sorting in small batch and flexible manufacturing industries using deep learning techniques

Abstract The expansion of LEAN and small batch manufacturing demands flexible automated workstations capable of switching between sorting various wastes over time. To address this challenge, our study is focused on assessing the ability of the Segment Anything Model (SAM) family of deep learning arc...

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Bibliographic Details
Main Authors: Arso M. Vukicevic, Milos Petrovic, Nebojsa Jurisevic, Marko Djapan, Nikola Knezevic, Aleksandar Novakovic, Kosta Jovanovic
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Waste Sorting
Artificial Intelligence
Deep Learning
Recycling
Manufacturing
Online Access:https://doi.org/10.1038/s41598-025-87226-x
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https://doi.org/10.1038/s41598-025-87226-x

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