{"id":9958,"date":"2022-03-25T12:37:01","date_gmt":"2022-03-25T11:37:01","guid":{"rendered":"https:\/\/www.dimacsrl.com\/home\/?p=9958"},"modified":"2024-05-15T17:34:28","modified_gmt":"2024-05-15T15:34:28","slug":"how-to-improve-quality-control-uning-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/www.dimacsrl.com\/es\/archives\/how-to-improve-quality-control-uning-artificial-intelligence\/","title":{"rendered":"C\u00f3mo mejorar el control de calidad mediante la inteligencia artificial"},"content":{"rendered":"
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Aprender de los defectos para mejorar el control de calidad<\/span><\/h3>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Como en cualquier proyecto de fabricaci\u00f3n de gran envergadura o complejidad, alcanzar el objetivo de cero defectos no es t\u00e9cnicamente posible, pero sigue siendo deseable. Por eso Dimac utiliza la inteligencia artificial para aprender de los defectos y mejorar el control de calidad, adem\u00e1s de incorporar esta tecnolog\u00eda a su \u00faltima generaci\u00f3n de m\u00e1quinas de inspecci\u00f3n y clasificaci\u00f3n.<\/i><\/b><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Las caracter\u00edsticas dimensionales y la estructura del material pueden controlarse con tecnolog\u00eda de inspecci\u00f3n y clasificaci\u00f3n de \u00faltima generaci\u00f3n, pero a\u00fan as\u00ed hay defectos de aspectos<\/b> que a menudo requieren una inspecci\u00f3n visual final, que solo el ojo humano puede garantizar mediante la clasificaci\u00f3n manual.<\/span><\/p>

Por lo tanto, Dimac ha implementado nuevo\u00a0<\/b><\/span>Inteligencia Artificial<\/b><\/a>\u00a0Algoritmos de inteligencia artificial (IA)<\/b> para procesar las im\u00e1genes tomadas por c\u00e1maras digitales de superficie y ayudar al operador en el proceso de aprendizaje de defectos. Las piezas defectuosas se colocan debajo de las c\u00e1maras de superficie, el sistema captura las im\u00e1genes y el operador resalta el defecto en la imagen de la pantalla t\u00e1ctil utilizando las herramientas disponibles.<\/span><\/p>

Los defectos tales como grietas, manchas, deformaciones, marcas, abolladuras y falta de material, que podr\u00edan no afectar a las dimensiones de la pieza, son resaltados por el operador y programados en el sistema.<\/b> Despu\u00e9s, tras el proceso preliminar de aprendizaje r\u00e1pido, el sistema ser\u00e1 capaz de reconocer defectos similares en el lote y la m\u00e1quina podr\u00e1 clasificar las piezas. Los algoritmos de IA requieren la disponibilidad de una galer\u00eda de muestras NOK, con el fin de crear una biblioteca de im\u00e1genes de defectos visuales, que se convierte en la referencia para el entrenamiento del sistema.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Las ventajas de la inteligencia artificial no se limitan a la inspecci\u00f3n.<\/span><\/h3>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Los algoritmos pueden interactuar con el sistema ERP de una empresa.<\/b> Intercambiar una gran cantidad de datos sobre el ciclo de clasificaci\u00f3n de cada lote de sujetadores: caracter\u00edsticas medidas, defectos de atributos y estad\u00edsticas de seguimiento sobre la distribuci\u00f3n de defectos en el lote.<\/span><\/p>

Las funciones de IA est\u00e1n incluidas en la \u00faltima generaci\u00f3n del software de inspecci\u00f3n visual Dimac mcvx, optimizado para la marca. Nueva m\u00e1quina de inspecci\u00f3n y clasificaci\u00f3n de alta velocidad mcv6<\/b>, basado en una mesa giratoria de vidrio. El mcv6 representa otro importante paso adelante para Dimac en su\u00a0<\/span>el camino hacia los cero defectos, ya que es un <\/span>M\u00e1quina nativa de IA<\/b><\/span>, que funciona con un controlador sin ventilador basado en un procesador Intel de octava generaci\u00f3n a 2660 Mhz DDR4 con puertos GigE para c\u00e1maras digitales de alta resoluci\u00f3n y puertos USB de \u00faltima generaci\u00f3n para dispositivos externos.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tM\u00c1S INFORMACI\u00d3N SOBRE MCV6<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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Learning from defects to improve quality control Like any sizable or complex manufacturing project attaining zero defects is technically not possible \u2013 but still desirable. That\u2019s why Dimac is using Artificial Intelligence to learn from defects and improve quality control, as well as adding the technology to its latest generation inspection and sorting machines. Dimensional […]<\/p>\n","protected":false},"author":1,"featured_media":13459,"comment_status":"closed","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"footnotes":"","_members_access_role":[],"_members_access_error":""},"categories":[13],"tags":[8,20,21,22,6,23,24,9,25,26,27,28,29,30],"class_list":["post-9958","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-ai-tools","tag-controllo-ottico","tag-controllo-predittivo","tag-fasteners","tag-glass-table","tag-industria-4-0","tag-inspection","tag-mcv6","tag-measure-it","tag-misura","tag-raccolta-dati","tag-selezione","tag-sorting-it","tag-zero-defects"],"yoast_head":"\nHow to improve quality control using Artificial Intelligence - Dimac - Automatic Quality Control Systems<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.dimacsrl.com\/es\/archives\/how-to-improve-quality-control-uning-artificial-intelligence\/\" \/>\n<meta property=\"og:locale\" content=\"es_MX\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to improve quality control using Artificial Intelligence - Dimac - Automatic Quality Control Systems\" \/>\n<meta property=\"og:description\" content=\"Learning from defects to improve quality control Like any sizable or complex manufacturing project attaining zero defects is technically not possible \u2013 but still desirable. 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