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Deep learning-based plastic classification using spectroscopic data
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DOI：10.1016/j.jclepro.2025.146793.png)
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Abstract
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• A Transformer-based model for classification of plastic using spectroscopy data. • Preprocessing modules to reduce noise and stabilise the model performance. • Improved ANN and CNN models. • An extensive comparative study with state-of-the-art models. • A plastic sorting framework with custom loader, DL models, and training pipeline.
Keywords:
Plastic recycling
Transformer model
Deep learning
Infrared spectroscopy
Polymer classification
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