Automated waste-sorting and recycling classification using artificial neural network and features fusion : a digital-enabled circular economy vision for smart cities

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • Mazin Abed Mohammed
  • Mahmood Jamal Abdulhasan
  • Karrar Hameed Abdulkareem
  • Salama A. Mostafa
  • Mashael S. Maashi
  • Layth Salman Khalid
  • Hayder Saadoon Abdulaali

Related Research Unit(s)

Detail(s)

Original languageEnglish
Number of pages16
Journal / PublicationMultimedia Tools and Applications
Online published28 Jul 2022
Publication statusOnline published - 28 Jul 2022

Abstract

Waste generation in smart cities is a critical issue, and the interim steps towards its management were not that effective. But at present, the challenge of meeting recycling requirements due to the practical difficulty involved in waste sorting decelerates smart city CE vision. In this paper, a digital model that automatically sorts the generated waste and classifies the type of waste as per the recycling requirements based on an artificial neural network (ANN) and features fusion techniques is proposed. In the proposed model, various features extracted using image processing are combined to develop a sophisticated classifier. Based on the different features, different models are built, and each model produces a single decision. Besides, the kind of class is determined using machine learning. The model is validated by extracting relevant information from the dataset containing 2400 images of possible waste types recycled across three categories. Based on the analysis, it is observed that the proposed model achieved an accuracy of 91.7%, proving its ability to sort and classify the waste as per the recycling requirements automatically. Overall, this analysis suggests that a digital-enabled CE vision could improve the waste sorting services and recycling decisions across the value chain in smart cities.

Research Area(s)

  • Waste management in smart cities, Waste images, Automated sorting approach, Trash recycling classifcation, AI for waste management, Circular economy in smart cities

Citation Format(s)

Automated waste-sorting and recycling classification using artificial neural network and features fusion : a digital-enabled circular economy vision for smart cities. / Mohammed, Mazin Abed; Abdulhasan, Mahmood Jamal; Kumar, Nallapaneni Manoj; Abdulkareem, Karrar Hameed; Mostafa, Salama A.; Maashi, Mashael S.; Khalid, Layth Salman; Abdulaali, Hayder Saadoon; Chopra, Shauhrat S.

In: Multimedia Tools and Applications, 28.07.2022.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review