Embedded System With Artificial Vision To Improve The Brick Production Process

Yoel M. Barrios-Chinchayhuara, Eli H. Valderrama-Armas, Segundo E. Cieza-Mostacero, Juan P. Pacheco-Torres, Oscar R. Alcántara-Moreno
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Abstract

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.
基于人工视觉的嵌入式系统改进砖生产工艺
本研究采用定量方法和预实验模式的实验设计,目的是通过在Ladrillos Mochica公司实施具有人工视觉的嵌入式系统来改进生产过程,该系统使用记录表。,为了衡量生产效率的水平、砖的完美单位百分比和生产延误的百分比,采用人工视觉的嵌入式系统实施前后。人口分别为5000个砖单位和24个生产订单,对于产品的开发,基于嵌入式系统(MBSE)的方法,在分析,设计,开发,集成,测试和实施阶段之后,从2021年5月到11月开发。主要成果是生产效率水平提高了1.04个百分点,砖坯完成率提高了5%,生产延误率降低了41%。在T-Student参数检验和Wilcoxon非参数检验的支持下,我们得出结论,该实施显著改善了生产过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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