Development of artificial vision system for quality control of bottles in the company Cartavio Rum Company
This article aims to develop a quality control system for bottled beverages for Cartavio Rum Company by using Visual Studio 2017 software, using the transformed hough and canny algorithm for borders and the application of morphological filters (erode). This system consists of a conveyor bel...
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| Format: | Online |
| Language: | spa |
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Universidad Pedagógica y Tecnológica de Colombia - UPTC
2020
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| Subjects: | |
| Online Access: | https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/12196 |
| _version_ | 1801706690203090944 |
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| author | León León, Ryan Abraham Jara, Bebeto Junior Beltran Cruz Saavedra, Renato Terrones Julcamoro, Kendy Torres Verastegui, Alexander Aponte de la Cruz, Miguel Angel |
| author_facet | León León, Ryan Abraham Jara, Bebeto Junior Beltran Cruz Saavedra, Renato Terrones Julcamoro, Kendy Torres Verastegui, Alexander Aponte de la Cruz, Miguel Angel |
| author_sort | León León, Ryan Abraham |
| collection | OJS |
| description | This article aims to develop a quality control system for bottled beverages for Cartavio Rum Company by using Visual Studio 2017 software, using the transformed hough and canny algorithm for borders and the application of morphological filters (erode). This system consists of a conveyor belt that generates the movement of the bottles, until it is detected by the camera, which obtains the images that are processed. For this, there is a system for the entry of the bottles to the conveyor belt, which will be taken place of capture of the images made by software. It identifies the level of loading of the product, evaluate the alignment and the correct color of the labels of the bottle, also it verify the control of sediments or small strange bodies in the bottles contents, then perform the previous processing the same. At the end of the preprocessing and determine the final characteristics of the product through pre-established parameters in bottled rum drinks, by using artificial vision, the bottles that pass the control continue towards a place process in the boxes where they can be dispatched and controlled, those that do not comply are rejected and reprocessed. Several tests concluded that the artificial vision system showed an efficiency of 95% compared to visual inspection of the human eye with 55%, corroborating the effectiveness of artificial vision in the quality process in the company. |
| format | Online |
| id | oai:oai.revistas.uptc.edu.co:article-12196 |
| institution | Revista Ingeniería, Investigación y Desarrollo |
| language | spa |
| publishDate | 2020 |
| publisher | Universidad Pedagógica y Tecnológica de Colombia - UPTC |
| record_format | ojs |
| spelling | oai:oai.revistas.uptc.edu.co:article-121962021-08-03T19:49:32Z Development of artificial vision system for quality control of bottles in the company Cartavio Rum Company DESARROLLO DE SISTEMA DE VISIÓN ARTIFICIAL PARA CONTROL DE CALIDAD DE BOTELLAS EN LA EMPRESA CARTAVIO RUM COMPANY León León, Ryan Abraham Jara, Bebeto Junior Beltran Cruz Saavedra, Renato Terrones Julcamoro, Kendy Torres Verastegui, Alexander Aponte de la Cruz, Miguel Angel quality inspection artificial vision calidad inspección visión artificial This article aims to develop a quality control system for bottled beverages for Cartavio Rum Company by using Visual Studio 2017 software, using the transformed hough and canny algorithm for borders and the application of morphological filters (erode). This system consists of a conveyor belt that generates the movement of the bottles, until it is detected by the camera, which obtains the images that are processed. For this, there is a system for the entry of the bottles to the conveyor belt, which will be taken place of capture of the images made by software. It identifies the level of loading of the product, evaluate the alignment and the correct color of the labels of the bottle, also it verify the control of sediments or small strange bodies in the bottles contents, then perform the previous processing the same. At the end of the preprocessing and determine the final characteristics of the product through pre-established parameters in bottled rum drinks, by using artificial vision, the bottles that pass the control continue towards a place process in the boxes where they can be dispatched and controlled, those that do not comply are rejected and reprocessed. Several tests concluded that the artificial vision system showed an efficiency of 95% compared to visual inspection of the human eye with 55%, corroborating the effectiveness of artificial vision in the quality process in the company. El presente artículo tiene por objetivo desarrollar un sistema de control de calidad de bebidas embotelladas para la em-presa Cartavio Rum Company mediante el software Visual Studio 2017, empleando el algoritmo transformado de houghy canny para los bordes y aplicación de filtros morfológicos (erode). Este sistema consta de una banda transportadoraque genera el movimiento de las botellas, hasta ser detectadas por la cámara, la cual obtiene las imágenes que son pro-cesadas. Para ello se tiene un sistema para el ingreso de las botellas hacia la faja transportadora que serán llevadas hasta el lugar de captura de las imágenes realizada mediante un software que se encarga de identificar del nivel de llenado del producto, evaluar la alineación y el correcto color de las etiquetas de la botella, también verificar el control de sedimentos o pequeños cuerpos extraños en el contenido de las botellas, para luego realizar el pre procesamiento de las mismas. Al finalizar el pre-procesamiento y determinar las características finales del producto mediante parámetros preestablecidos en bebidas embotelladas de ron, mediante el uso de visión artificial, las botellas que pasen el control continúan hacia un proceso de ubicación en las cajas donde serán despachadas y aquellas que no cumplen son rechazadas y reprocesadas. Se realizaron diversas pruebas que concluyen que el sistema de visión artificial muestra una eficiencia del 95% comparado al de la inspección visual del ojo humano con 55%, corroborando la efectividad de la visión artificial en el proceso de calidad en la empresa. Universidad Pedagógica y Tecnológica de Colombia - UPTC 2020-12-09 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/12196 10.19053/1900771X.v19.n1.2019.12196 Ingeniería Investigación y Desarrollo; Vol. 19 No. 1 (2019): Revista Ingeniería Investigación y Desarrollo; 17-25 Ingeniería Investigación y Desarrollo; Vol. 19 Núm. 1 (2019): Enero - Junio; 17-25 2422-4324 1900-771X spa https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/12196/9956 |
| spellingShingle | quality inspection artificial vision calidad inspección visión artificial León León, Ryan Abraham Jara, Bebeto Junior Beltran Cruz Saavedra, Renato Terrones Julcamoro, Kendy Torres Verastegui, Alexander Aponte de la Cruz, Miguel Angel Development of artificial vision system for quality control of bottles in the company Cartavio Rum Company |
| title | Development of artificial vision system for quality control of bottles in the company Cartavio Rum Company |
| title_alt | DESARROLLO DE SISTEMA DE VISIÓN ARTIFICIAL PARA CONTROL DE CALIDAD DE BOTELLAS EN LA EMPRESA CARTAVIO RUM COMPANY |
| title_full | Development of artificial vision system for quality control of bottles in the company Cartavio Rum Company |
| title_fullStr | Development of artificial vision system for quality control of bottles in the company Cartavio Rum Company |
| title_full_unstemmed | Development of artificial vision system for quality control of bottles in the company Cartavio Rum Company |
| title_short | Development of artificial vision system for quality control of bottles in the company Cartavio Rum Company |
| title_sort | development of artificial vision system for quality control of bottles in the company cartavio rum company |
| topic | quality inspection artificial vision calidad inspección visión artificial |
| topic_facet | quality inspection artificial vision calidad inspección visión artificial |
| url | https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/12196 |
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