Research Article
Image Classification Applied to the Detection of Leather Defects for Smart Manufacturing
177 downloads
@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
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.
Copyright © 2020–2024 ICST