Multispectral Integrated System with Discrete Light Sources for Material Classification

Multispectral Integrated System with Discrete Light Sources for Material Classification

This paper presents a compact and portable classification system that utilizes a discrete light source method combining near-infrared (NIR) reflectance spectroscopy with a Support Vector Machine (SVM) to identify and classify waste materials. The system operates by sequentially activating 10 light-e...

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Bibliographic Details
Main Authors: Anju Manakkakudy Kumaran, Federica Mitri, Emanuele Maiorana, Andrea De Iacovo, Lorenzo Colace
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Proceedings
Subjects:
NIR spectroscopy
material classification
support vector machine
Online Access:https://www.mdpi.com/2504-3900/97/1/83
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Summary:This paper presents a compact and portable classification system that utilizes a discrete light source method combining near-infrared (NIR) reflectance spectroscopy with a Support Vector Machine (SVM) to identify and classify waste materials. The system operates by sequentially activating 10 light-emitting diodes (LEDs) of different wavelengths and measuring their reflectance using a photodetector. This system incorporates a DAQ card using the LabView program for data acquisition and system control. The proposed model achieved an identification accuracy of up to 98% using different input features and training batches. This efficient and cost-effective solution provides an innovative approach to waste management.
ISSN:2504-3900

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