An investigation of the usability of sound recognition for source separation of packaging wastes in reverse vending machines

Korucu, M. Kemal; Kaplan, Özgür; Büyük, Osman; Güllü, M. Kemal

doi:10.1016/j.wasman.2016.06.030

Cited by 19 publications

(14 citation statements)

References 35 publications

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“…As we can see in the verification result, we were able to recover the average identification rate to about 20% higher than that of the conventional MFCC. It was confirmed that steel cans and aluminum could be clearly distinguished, which was not clearly mentioned in the results of Korucu et al [27]. As our proposal only uses an inexpensive condenser microphone for the classification, the system is simpler and more cost-effective than Korucu's prototype.…”

Section: Evaluation Results and Discussionsupporting

confidence: 68%

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Improved Feature Extraction Method for Sound Recognition Applied to Automatic Sorting of Recycling Wastes

Munaka

Samie

Bauer

et al. 2020

Journal of Information Processing

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As an effort to realize a sustainable society, Tokai University Takanawa Campus has used a smart garbage collection service called BigBelly TM since 2016 for recovering wastes such as cans, bottles, and plastic bottles for recycling. The objective of this demonstration experiment is to clarify how much waste has been correctly separated and collected. As a result of this demonstration about three years, it found that about 30% of the recycling wastes had not correctly sorted. To improve this situation, we propose an automatic sorting function using sound recognition. In many types of research for voice recognition, Mel Frequency Cepstral Coefficient (MFCC) has been used as an algorithm for extracting features used for machine learning Support Vector Machines (SVMs). One reason is that MFCC extracts valuable features that focus on the low dimension for the human voice. However, the sounds of recycling wastes have features of frequency components found in higher dimensions. Based on this characteristic, we propose an improved method of MFCC suitable for sounds, rather than voice recognition for identifying recycling wastes and show the results of the automatic sorting of recycling wastes.

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Section: Evaluation Results and Discussionsupporting

confidence: 68%

“…Korucu et al [27] classify recycling wastes into four cate-gories: metal, plastic, glass, and cardboard, using the free-falling sound. They have set up a use case to collect what was sold on a vending machine, so cardboards are included in the classification.…”

Section: Related Workmentioning

confidence: 99%

Improved Feature Extraction Method for Sound Recognition Applied to Automatic Sorting of Recycling Wastes

Munaka

Samie

Bauer

et al. 2020

Journal of Information Processing

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“…Para una precisión final de sonido y tamaño de un 88,6%, con lo cual se demostró el alto rendimiento que esta implementación puede aportar en el proceso. (Korucu et al, 2016).…”

Section: Resultsunclassified

Aprovechamiento de los residuos reciclables desde la perspectiva tecnológica

Rodríguez¹

2021

Tendencias en La Investigación Universitaria. Una Visión Desde Latinoamérica. Volumen XVI

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La presente investigación tuvo como propósito describir el alcance del aprovechamiento de los residuos reciclables desde la perspectiva tecnológica, se realizó mediante un estudio documental. Para lograr el objetivo en la investigación se analizaron propuestas e implementaciones con énfasis tecnológico aplicadas a procesos de separación de desechos planteadas en proyectos realizados por varios autores como Dewulf et al. (2017). Dentro de los hallazgos del presente estudio basado en el paradigma cualitativo y presentado como estudio de tipo documental, con diseño bibliográfico descriptivo se presentaron una serie de métodos implementados con enfoque en optimizar el proceso de gestión de residuos sólidos reciclables mediante tecnologías como el machine learning, la robótica, electrostática, magnetismo y el software, que demuestran un alcance significativo en la optimización de dicho proceso. Concluyendo que la aplicación de la tecnología en las técnicas de separación de desechos tiene un gran potencial de aporte en el proceso y su implementación depende de la necesidad, la cantidad y tipo de residuos y la capacidad económica y técnica, entre otros factores.

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“…PET bottles were manually separated and weighted according to six defined volume ranges (starting from below 0.39 l to more than 2.26 l). This information is important to determine the size of the inlet and the dimensions of the collection containers or reverse vending machines, among other uses (Korucu et al, 2016). Because PET bottles are commonly used as for different beverages (Welle, 2011), their distribution based on the type of product for which they were used was also analysed.…”

Section: Methodsmentioning

confidence: 99%

Determination of the composition and properties of PET bottles: Evidence of the empirical approach from Perm, Russia

et al. 2021

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Efficient collection systems and information about the characteristics and quality of collected secondary plastic waste flows are of fundamental importance for the development of circular economies. In order to assess the effectiveness of the implementation of separate collection systems for plastic packaging, especially polyethylene terephthalate (PET) bottles, characteristic of the collected PET bottles in street mesh containers were studied in the city of Perm, Russia. The share of extraneous fractions was assessed and differentiation was carried out by volume, type of product, label presence, shape, content of solid and liquid impurities and colour. These results indicate that PET composition in different seasons is very similar, despite the assumption that the consumption of PET bottles in the spring and autumn seasons varies. In the mesh containers, up to 34% of the items were foreign objects, considering that only PET bottles should be collected. In each dimensional flow of PET bottles, the proportion of transparent bottles prevailed; it ranged from 31% to 70%. Based on the results of the experiment, almost all PET bottle categories had a standard shape, except packaging for food products and household chemicals, in which 26–27% of PET bottles had a non-standard shape. The results about charactersitic of source-separated PET bottles are fundamental for goal-oriented design and implementation of collection, recycling technologies, secondary separation facilities, the economics of recycling intitatives and reverse vending machines for collecting materials.

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An investigation of the usability of sound recognition for source separation of packaging wastes in reverse vending machines

Cited by 19 publications

References 35 publications

Improved Feature Extraction Method for Sound Recognition Applied to Automatic Sorting of Recycling Wastes

Improved Feature Extraction Method for Sound Recognition Applied to Automatic Sorting of Recycling Wastes

Aprovechamiento de los residuos reciclables desde la perspectiva tecnológica

Determination of the composition and properties of PET bottles: Evidence of the empirical approach from Perm, Russia

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