On-Line Classification of Synthetic Polymers Using near Infrared Spectral Imaging
- 2 February 2003
- journal article
- research article
- Published by SAGE Publications in Journal of Near Infrared Spectroscopy
- Vol. 11 (1), 71-81
- https://doi.org/10.1255/jnirs.355
Abstract
The lack of industrially-applicable, fast polymer classification systems is currently a major stumbling block in establishing both economically- and ecologically-useful waste recycling systems. With the advent of near infrared (NIR) spectral imaging for online classification, a method capable of distinguishing between different materials while simultaneously providing reliable size and shape information became available. In particular, polymer materials can be identified by their characteristic reflection spectra in the NIR without critical interferences from varying sample sizes and colours. A dedicated laboratory-scale prototype spectral imaging system has been developed and a number of classification algorithms have been evaluated for their applicability for polymer classification. Of the investigated algorithms, the Spectral Angle Mapper algorithm, supplemented by a threshold value and applied to the first derivatives of the normalised spectra, proved to be best suited for a rapid and reliable classification of polymers. Based on these achievements, an on-line system capable of classifying polymer parts delivered on a conveyor belt in real-time has been set up, which can be used, for example, as a sensor for fully-automated industrial polymer waste sorters.Keywords
This publication has 9 references indexed in Scilit:
- The other spectroscopy: demonstration of a new de-dispersion imaging spectrographVibrational Spectroscopy, 2002
- Imaging SpectrometryPublished by Springer Science and Business Media LLC ,2002
- Imaging spectroscopy using tunable filters: a reviewPublished by SPIE-Intl Soc Optical Eng ,2000
- Raman chemical imaging using flexible fiberscope technologyPublished by SPIE-Intl Soc Optical Eng ,2000
- Very fast imaging FT spectrometer for online process monitoring and controlPublished by SPIE-Intl Soc Optical Eng ,1999
- Direct sight imaging spectrograph: a unique add-on component brings spectral imaging to industrial applicationsPublished by SPIE-Intl Soc Optical Eng ,1998
- Four-color pyrometry for metal emissivity characterizationPublished by SPIE-Intl Soc Optical Eng ,1996
- Imaging Fourier transform spectrometerProceedings of SPIE, 1993
- The spectral image processing system (SIPS)—interactive visualization and analysis of imaging spectrometer dataRemote Sensing of Environment, 1993