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Research Article | Open Access |

FabricVision: System of Error Detection in the Manufacture of Garments

Author 1: Jaime Moreno Author 2: Arturo Aguila Author 3: Eduardo Partida Author 4: Oswaldo Morales Author 5: Ricardo Tejeida
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 8, No. 11 · Published 2017

DOI: https://doi.org/10.14569/IJACSA.2017.081133

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Abstract

A computer vision system is implemented to detect errors in the cutting stage within the manufacturing process of garments in the textile industry. It provides solution to errors within the process that cannot be easily detected by any employee, in addition to significantly increase the speed of quality review. In the textile industry as in many others, quality control is required in manufactured products and this has been carried out manually by means of visual inspection by employees over the years. For this reason, the objective of this project is to design a quality control system using computer vision to identify errors in the cutting stage within the garment manufacturing process to increase the productivity of textile processes by reducing costs.

Keywords

Computer vision histogram of oriented gradient segmentation object detection image capture

How to Cite this Article

Moreno, J., Aguila, A., Partida, E., Morales, O., & Tejeida, R. (2017). FabricVision: System of Error Detection in the Manufacture of Garments. International Journal of Advanced Computer Science and Applications, 8(11). https://doi.org/10.14569/IJACSA.2017.081133

Moreno, Jaime, et al.. "FabricVision: System of Error Detection in the Manufacture of Garments." International Journal of Advanced Computer Science and Applications, vol. 8, no. 11, 2017, https://doi.org/10.14569/IJACSA.2017.081133.

@article{Moreno2017,
  title     = {FabricVision: System of Error Detection in the Manufacture of Garments},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {8},
  number    = {11},
  year      = {2017},
  publisher = {The Science and Information Organization},
  author    = {Jaime Moreno and Arturo Aguila and Eduardo Partida and Oswaldo Morales and Ricardo Tejeida},
  doi       = {10.14569/IJACSA.2017.081133},
  url       = {https://doi.org/10.14569/IJACSA.2017.081133}
}

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