SIMULACIÓN DE UN SISTEMA DE CLASIFICACIÓN DE FRASCOS DE CONSERVAS MEDIANTE VISIÓN ARTIFICIAL EN LAS EMPRESAS USANDO PYTHON

Ryan León Leon; Nicole Guevara Jiménez; Samuel Briceño Cabrera; Álvaro Espinoza Llanos; Leyla Gamboa Nolasco; Angel Marín Alzamora; Paulina Paz Rodriguez

doi:10.18687/LEIRD2022.1.1.181

SIMULACIÓN DE UN SISTEMA DE CLASIFICACIÓN DE FRASCOS DE CONSERVAS MEDIANTE VISIÓN ARTIFICIAL EN LAS EMPRESAS USANDO PYTHON

Translated title of the contribution: SIMULATION OF A CANNING JAR SORTING SYSTEM BY MACHINE VISION IN ENTERPRISES USING PYTHON

Ryan León Leon, Nicole Guevara Jiménez, Samuel Briceño Cabrera, Álvaro Espinoza Llanos, Leyla Gamboa Nolasco, Angel Marín Alzamora, Paulina Paz Rodriguez

Engineering

Universidad Privada del Norte

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The project proposes a system that performs the classification of glass jars with preserves using a machine vision program in python loaded on a computer which extracts the characteristics of the jars through their exterior colour of the piquillo pepper product, The algorithm that we developed was able to detect jars in good condition and give an alarm signal when foreign material is present inside the jars due to the difference in colour using a high resolution Logitech camera that captures images of the jars that are in a stable and illuminated environment. These jars have previously been subjected to industrial sterilisation in autoclaves so, when the automated system is implemented, it classifies the jars in the canning companies and according to the corresponding colour, the programme differentiates the jars that are in good condition from those that have foreign material with a reliability of 98% according to the design tests, saving costs and using fewer resources within the company.

Translated title of the contribution	SIMULATION OF A CANNING JAR SORTING SYSTEM BY MACHINE VISION IN ENTERPRISES USING PYTHON
Original language	Spanish
Title of host publication	Proceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development
Subtitle of host publication	Exponential Technologies and Global Challenges: Moving Toward a New Culture of Entrepreneurship and Innovation for Sustainable Development, LEIRD 2022
Editors	Maria M. Larrondo Petrie, Jose Texier, Rodolfo Andres Rivas Matta
ISBN (Electronic)	9786289520736
DOIs	https://doi.org/10.18687/LEIRD2022.1.1.181
State	Published - 2022
Event	2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2022 - Virtual, Online, Colombia Duration: 6 Dec 2022 → 7 Dec 2022

Publication series

Name	Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volume	2022-December
ISSN (Electronic)	2414-6390

Conference

Conference	2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2022
Country/Territory	Colombia
City	Virtual, Online
Period	6/12/22 → 7/12/22

Access to Document

10.18687/LEIRD2022.1.1.181

Cite this

Leon, R. L., Jiménez, N. G., Cabrera, S. B., Llanos, Á. E., Nolasco, L. G., Alzamora, A. M., & Rodriguez, P. P. (2022). SIMULACIÓN DE UN SISTEMA DE CLASIFICACIÓN DE FRASCOS DE CONSERVAS MEDIANTE VISIÓN ARTIFICIAL EN LAS EMPRESAS USANDO PYTHON. In M. M. Larrondo Petrie, J. Texier, & R. A. R. Matta (Eds.), Proceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development: Exponential Technologies and Global Challenges: Moving Toward a New Culture of Entrepreneurship and Innovation for Sustainable Development, LEIRD 2022 (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology; Vol. 2022-December). https://doi.org/10.18687/LEIRD2022.1.1.181

Leon, Ryan León ; Jiménez, Nicole Guevara ; Cabrera, Samuel Briceño et al. / SIMULACIÓN DE UN SISTEMA DE CLASIFICACIÓN DE FRASCOS DE CONSERVAS MEDIANTE VISIÓN ARTIFICIAL EN LAS EMPRESAS USANDO PYTHON. Proceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development: Exponential Technologies and Global Challenges: Moving Toward a New Culture of Entrepreneurship and Innovation for Sustainable Development, LEIRD 2022. editor / Maria M. Larrondo Petrie ; Jose Texier ; Rodolfo Andres Rivas Matta. 2022. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology).

@inproceedings{7e26eb5b3e634471baa75077770cb7d2,

title = "SIMULACI{\'O}N DE UN SISTEMA DE CLASIFICACI{\'O}N DE FRASCOS DE CONSERVAS MEDIANTE VISI{\'O}N ARTIFICIAL EN LAS EMPRESAS USANDO PYTHON",

abstract = "The project proposes a system that performs the classification of glass jars with preserves using a machine vision program in python loaded on a computer which extracts the characteristics of the jars through their exterior colour of the piquillo pepper product, The algorithm that we developed was able to detect jars in good condition and give an alarm signal when foreign material is present inside the jars due to the difference in colour using a high resolution Logitech camera that captures images of the jars that are in a stable and illuminated environment. These jars have previously been subjected to industrial sterilisation in autoclaves so, when the automated system is implemented, it classifies the jars in the canning companies and according to the corresponding colour, the programme differentiates the jars that are in good condition from those that have foreign material with a reliability of 98% according to the design tests, saving costs and using fewer resources within the company.",

keywords = "Canning jars, Machine vision, Quality control, Quality control, Sorting, Sorting",

author = "Leon, {Ryan Le{\'o}n} and Jim{\'e}nez, {Nicole Guevara} and Cabrera, {Samuel Brice{\~n}o} and Llanos, {{\'A}lvaro Espinoza} and Nolasco, {Leyla Gamboa} and Alzamora, {Angel Mar{\'i}n} and Rodriguez, {Paulina Paz}",

note = "Publisher Copyright: {\textcopyright} 2022 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.; 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2022 ; Conference date: 06-12-2022 Through 07-12-2022",

year = "2022",

doi = "10.18687/LEIRD2022.1.1.181",

language = "Espa{\~n}ol",

series = "Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology",

editor = "{Larrondo Petrie}, {Maria M.} and Jose Texier and Matta, {Rodolfo Andres Rivas}",

booktitle = "Proceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development",

}

Leon, RL, Jiménez, NG, Cabrera, SB, Llanos, ÁE, Nolasco, LG, Alzamora, AM & Rodriguez, PP 2022, SIMULACIÓN DE UN SISTEMA DE CLASIFICACIÓN DE FRASCOS DE CONSERVAS MEDIANTE VISIÓN ARTIFICIAL EN LAS EMPRESAS USANDO PYTHON. in MM Larrondo Petrie, J Texier & RAR Matta (eds), Proceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development: Exponential Technologies and Global Challenges: Moving Toward a New Culture of Entrepreneurship and Innovation for Sustainable Development, LEIRD 2022. Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology, vol. 2022-December, 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2022, Virtual, Online, Colombia, 6/12/22. https://doi.org/10.18687/LEIRD2022.1.1.181

SIMULACIÓN DE UN SISTEMA DE CLASIFICACIÓN DE FRASCOS DE CONSERVAS MEDIANTE VISIÓN ARTIFICIAL EN LAS EMPRESAS USANDO PYTHON. / Leon, Ryan León; Jiménez, Nicole Guevara; Cabrera, Samuel Briceño et al.
Proceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development: Exponential Technologies and Global Challenges: Moving Toward a New Culture of Entrepreneurship and Innovation for Sustainable Development, LEIRD 2022. ed. / Maria M. Larrondo Petrie; Jose Texier; Rodolfo Andres Rivas Matta. 2022. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology; Vol. 2022-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Leon, Ryan León

AU - Jiménez, Nicole Guevara

AU - Cabrera, Samuel Briceño

AU - Llanos, Álvaro Espinoza

AU - Nolasco, Leyla Gamboa

AU - Alzamora, Angel Marín

AU - Rodriguez, Paulina Paz

PY - 2022

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N2 - The project proposes a system that performs the classification of glass jars with preserves using a machine vision program in python loaded on a computer which extracts the characteristics of the jars through their exterior colour of the piquillo pepper product, The algorithm that we developed was able to detect jars in good condition and give an alarm signal when foreign material is present inside the jars due to the difference in colour using a high resolution Logitech camera that captures images of the jars that are in a stable and illuminated environment. These jars have previously been subjected to industrial sterilisation in autoclaves so, when the automated system is implemented, it classifies the jars in the canning companies and according to the corresponding colour, the programme differentiates the jars that are in good condition from those that have foreign material with a reliability of 98% according to the design tests, saving costs and using fewer resources within the company.

AB - The project proposes a system that performs the classification of glass jars with preserves using a machine vision program in python loaded on a computer which extracts the characteristics of the jars through their exterior colour of the piquillo pepper product, The algorithm that we developed was able to detect jars in good condition and give an alarm signal when foreign material is present inside the jars due to the difference in colour using a high resolution Logitech camera that captures images of the jars that are in a stable and illuminated environment. These jars have previously been subjected to industrial sterilisation in autoclaves so, when the automated system is implemented, it classifies the jars in the canning companies and according to the corresponding colour, the programme differentiates the jars that are in good condition from those that have foreign material with a reliability of 98% according to the design tests, saving costs and using fewer resources within the company.

KW - Canning jars

KW - Machine vision

KW - Quality control

KW - Sorting

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U2 - 10.18687/LEIRD2022.1.1.181

DO - 10.18687/LEIRD2022.1.1.181

M3 - Contribución a la conferencia

AN - SCOPUS:85150737552

T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology

BT - Proceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development

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A2 - Texier, Jose

A2 - Matta, Rodolfo Andres Rivas

T2 - 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2022

Y2 - 6 December 2022 through 7 December 2022

ER -

Leon RL, Jiménez NG, Cabrera SB, Llanos ÁE, Nolasco LG, Alzamora AM et al. SIMULACIÓN DE UN SISTEMA DE CLASIFICACIÓN DE FRASCOS DE CONSERVAS MEDIANTE VISIÓN ARTIFICIAL EN LAS EMPRESAS USANDO PYTHON. In Larrondo Petrie MM, Texier J, Matta RAR, editors, Proceedings of the 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development: Exponential Technologies and Global Challenges: Moving Toward a New Culture of Entrepreneurship and Innovation for Sustainable Development, LEIRD 2022. 2022. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology). doi: 10.18687/LEIRD2022.1.1.181

SIMULACIÓN DE UN SISTEMA DE CLASIFICACIÓN DE FRASCOS DE CONSERVAS MEDIANTE VISIÓN ARTIFICIAL EN LAS EMPRESAS USANDO PYTHON

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