Computer Science and Health Engineering in Health Services. 4th EAI International Conference, COMPSE 2020, Virtual Event, November 26, 2020, Proceedings

Research Article

Image Classification Applied to the Detection of Leather Defects for Smart Manufacturing

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  • @INPROCEEDINGS{10.1007/978-3-030-69839-3_4,
        author={Alberto Ochoa-Zezatti and Oliverio Cruz-Mej\^{\i}a and Jose Mejia and Hazael Ceron-Monroy},
        title={Image Classification Applied to the Detection of Leather Defects for Smart Manufacturing},
        proceedings={Computer Science and Health Engineering in Health Services. 4th EAI International Conference, COMPSE 2020, Virtual Event, November 26, 2020, Proceedings},
        proceedings_a={COMPSE},
        year={2021},
        month={7},
        keywords={Image classification Artificial vision Convolutional neural network Smart manufacturing Footwear industry Keras Tensorflow},
        doi={10.1007/978-3-030-69839-3_4}
    }
    
  • Alberto Ochoa-Zezatti
    Oliverio Cruz-Mejía
    Jose Mejia
    Hazael Ceron-Monroy
    Year: 2021
    Image Classification Applied to the Detection of Leather Defects for Smart Manufacturing
    COMPSE
    Springer
    DOI: 10.1007/978-3-030-69839-3_4
Alberto Ochoa-Zezatti1, Oliverio Cruz-Mejía2, Jose Mejia1, Hazael Ceron-Monroy3
  • 1: Universidad Autónoma de Ciudad Juárez
  • 2: Universidad Autónoma del Estado de México
  • 3: Universidad Anáhuac México

Abstract

In the shoe production workshops, animal leather is used as the main raw material. Generally, an operator manually checks the surface of the leather, making sure that it does not present defects that compromise the quality of the final product.