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

Alberto Ochoa-Zezatti; Oliverio Cruz-Mejía; Jose Mejia; Hazael Ceron-Monroy

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.

Keywords: Image classification Artificial vision Convolutional neural network Smart manufacturing Footwear industry Keras Tensorflow

Published: 2021-07-16
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-69839-3_4