Hyperspectral Imaging for Analysis and Classification of Plastic Waste
| Autor: | Jakub Krasniewski, Marcin Lewandowski, Lukasz Dabala |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Computer science
business.industry 010401 analytical chemistry Cognitive neuroscience of visual object recognition Sorting Hyperspectral imaging 020206 networking & telecommunications Pattern recognition 02 engineering and technology 01 natural sciences 0104 chemical sciences Identification (information) Pattern recognition (psychology) 0202 electrical engineering electronic engineering information engineering Task analysis Plastic waste Artificial intelligence business |
| Zdroj: | ICPR |
| DOI: | 10.1109/icpr48806.2021.9412737 |
| Popis: | Environmental protection is one of the main challenges facing society nowadays. Even with constantly growing awareness, not all of the sorting can be done by people themselves - the differences between materials are not visible to the human eye. For that reason, we present the use of a hyperspectral camera as a capture device, which allows us to obtain the full spectrum of the material. In this work we propose a method for efficient recognition of the substance of an item. We conducted several experiments and analysis of the spectra of different materials in different conditions on a special measuring stand. That enabled identification of the best features, which can later be used during classification, which was confirmed during the extensive testing procedure. |
| Databáze: | OpenAIRE |
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