Work

Classification of commercial plastics using hyperspectral long wave infrared emission imaging

Year: 2024

Type: article

Abstract: • A novel emission hyperspectral camera system is developed. • Plastic classification is possible using low order Fabry-Pérot interferometry. • Via hypercube data processing it is possible to classify the plastic types. • Principal component analysis and k-nearest neighbours is applied for data treatment. 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-Pérot interferometer and is sensitive to radiation with wavelengths from 8 µm to 15 µm. As a demonstration, the setup is used to record interferograms and distinguish between twelve types of common plastics heated to 60 °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.

Source: Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy

DOI: 10.1016/j.saa.2024.125501