TY - GEN
T1 - Sistema Embebido Con Visión Artificial Para Mejorar El Proceso De Producción De Ladrillos
AU - Barrios-Chinchayhuara, Yoel M.
AU - Valderrama-Armas, Eli H.
AU - Cieza-Mostacero, Segundo E.
AU - Pacheco-Torres, Juan P.
AU - Alcántara-Moreno, Oscar R.
N1 - Publisher Copyright:
© 2022 IEEE Computer Society. All rights reserved.
PY - 2022
Y1 - 2022
N2 - The present research applied with a quantitative approach and with an experimental design in the pre-experimental modality, had the purpose of improving the production process through the implementation of an embedded system with artificial vision in the Ladrillos Mochica company, for which record sheets were used., in order to measure the level of production efficiency, the percentage of perfect brick units and the percentage of production delays, before and after the implementation of the embedded system with artificial vision. The population was 5000 brick units and 24 production orders respectively, and for the development of the product the methodology based on embedded systems (MBSE) was used, following the stages of analysis, design, development, integration and testing and implementation, the which was developed from May to November 2021. The main results were the increase in the production efficiency level by 1.04, the percentage of perfect brick units increased by 5% and finally the percentage of production delays decreased by 41%. With the support of the T-Student parametric test and the Wilcoxon nonparametric test, it is concluded that this implementation significantly improves the production process.
AB - The present research applied with a quantitative approach and with an experimental design in the pre-experimental modality, had the purpose of improving the production process through the implementation of an embedded system with artificial vision in the Ladrillos Mochica company, for which record sheets were used., in order to measure the level of production efficiency, the percentage of perfect brick units and the percentage of production delays, before and after the implementation of the embedded system with artificial vision. The population was 5000 brick units and 24 production orders respectively, and for the development of the product the methodology based on embedded systems (MBSE) was used, following the stages of analysis, design, development, integration and testing and implementation, the which was developed from May to November 2021. The main results were the increase in the production efficiency level by 1.04, the percentage of perfect brick units increased by 5% and finally the percentage of production delays decreased by 41%. With the support of the T-Student parametric test and the Wilcoxon nonparametric test, it is concluded that this implementation significantly improves the production process.
KW - Artificial vision
KW - Embedded system
KW - Production process
UR - http://www.scopus.com/inward/record.url?scp=85134832102&partnerID=8YFLogxK
U2 - 10.23919/CISTI54924.2022.9820343
DO - 10.23919/CISTI54924.2022.9820343
M3 - Contribución a la conferencia
AN - SCOPUS:85134832102
T3 - Iberian Conference on Information Systems and Technologies, CISTI
BT - Proceedings of 2022 17th Iberian Conference on Information Systems and Technologies, CISTI 2022
A2 - Rocha, Alvaro
A2 - Bordel, Borja
A2 - Penalvo, Francisco Garcia
A2 - Goncalves, Ramiro
PB - IEEE Computer Society
T2 - 17th Iberian Conference on Information Systems and Technologies, CISTI 2022
Y2 - 22 June 2022 through 25 June 2022
ER -