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Abstract

Multispectral Integrated System with Discrete Light Sources for Material Classification †

by
Anju Manakkakudy Kumaran
*,
Federica Mitri
,
Emanuele Maiorana
,
Andrea De Iacovo
and
Lorenzo Colace
Department of Industrial, Electronic and Mechanical Engineering, University Roma Tre, 00146 Rome, Italy
*
Author to whom correspondence should be addressed.
†
Presented at the XXXV EUROSENSORS Conference, Lecce, Italy, 10–13 September 2023.
Proceedings 2024, 97(1), 83; https://doi.org/10.3390/proceedings2024097083
Published: 22 March 2024
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Abstract

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.
Keywords: NIR spectroscopy; material classification; support vector machine NIR spectroscopy; material classification; support vector machine

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MDPI and ACS Style

Kumaran, A.M.; Mitri, F.; Maiorana, E.; De Iacovo, A.; Colace, L. Multispectral Integrated System with Discrete Light Sources for Material Classification. Proceedings 2024, 97, 83. https://doi.org/10.3390/proceedings2024097083

AMA Style

Kumaran AM, Mitri F, Maiorana E, De Iacovo A, Colace L. Multispectral Integrated System with Discrete Light Sources for Material Classification. Proceedings. 2024; 97(1):83. https://doi.org/10.3390/proceedings2024097083

Chicago/Turabian Style

Kumaran, Anju Manakkakudy, Federica Mitri, Emanuele Maiorana, Andrea De Iacovo, and Lorenzo Colace. 2024. "Multispectral Integrated System with Discrete Light Sources for Material Classification" Proceedings 97, no. 1: 83. https://doi.org/10.3390/proceedings2024097083

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