1. Waste Material Classification: A Short-Wave Infrared Discrete-Light-Source Approach Based on Light-Emitting Diodes.
- Author
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Manakkakudy, Anju, De Iacovo, Andrea, Maiorana, Emanuele, Mitri, Federica, and Colace, Lorenzo
- Subjects
- *
WASTE products , *LIGHT emitting diodes , *RECYCLING management , *WASTE management , *PLASTIC scrap - Abstract
Waste material classification is a challenging yet important task in waste management. The realization of low-cost waste classification systems and methods is critical to meet the ever-increasing demand for efficient waste management and recycling. In this paper, we demonstrate a simple, compact and low-cost classification system based on optical reflectance measurements in the short-wave infrared for the segregation of waste materials such as plastics, paper, glass, and aluminium. The system comprises a small set of LEDs and one single broadband photodetector. All devices are controlled through low-cost and low-power electronics, and data are gathered and managed via a computer interface. The proposed system reaches accuracy levels as high as 94.3% when considering seven distinct materials and 97.0% when excluding the most difficult to classify, thus representing a valuable proof-of-concept for future system developments. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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