Classification of commercial plastics using hyperspectral long wave infrared emission imaging

被引：1

作者：

Larsen, Mads Nibe ^{[1
,2
,3
]}

Jorgensen, Anders Lochte ^{[2
]}

Henriksen, Martin Lahn ^{[3
]}

Petrunin, Victor ^{[2
]}

Kjelstrup-Hansen, Jakob ^{[1
]}

Jorgensen, Bjarke ^{[2
]}

Hinge, Mogens ^{[3
]}

机构：

[1] Univ Southern Denmark, Mads Clausen Inst, NanoSYD, DK-6400 Sonderborg, Denmark

[2] Newtec Engn AS, DK-5230 ODENSE, Denmark

[3] Aarhus Univ, Dept Biol & Chem Engn, Plast & Polymer Engn, DK-8200 Aarhus N, Denmark

来源：

SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY | 2025年 / 329卷

关键词：

Hyperspectral imaging; Fabry-Pe<acute accent>rot interferometry; Thermography; Plastics classification; Principal component analysis; SPECTROSCOPY; DEBRIS;

D O I：

10.1016/j.saa.2024.125501

中图分类号：

O433 [光谱学];

学科分类号：

0703 ; 070302 ;

摘要：

The long wave infrared regime of the electromagnetic spectrum has been used to identify and classify different types of plastics. This work presents an early-stage version of an industrial hyperspectral camera, which is based on a low-order scanning Fabry-Pe<acute accent>rot interferometer and is sensitive to radiation with wavelengths from 8 mu m to 15 mu m. As a demonstration, the setup is used to record interferograms and distinguish between twelve types of common plastics heated to 60 degrees C. The plastic identification is based on a nine-component principal component analysis model combined with k-nearest neighbors. The resulting model shows a micro precision of 90 % and a macro specificity of 99 %, being able to classify all tested plastic types except ABS.

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