{"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\/pt\/archives\/how-to-improve-quality-control-uning-artificial-intelligence\/","title":{"rendered":"Como melhorar o controle de qualidade usando Intelig\u00eancia Artificial"},"content":{"rendered":"
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Aprendendo com os defeitos para melhorar o controle de qualidade<\/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 qualquer projeto de fabrica\u00e7\u00e3o de grande porte ou complexo, atingir zero defeitos n\u00e3o \u00e9 tecnicamente poss\u00edvel \u2013 mas ainda assim \u00e9 desej\u00e1vel. \u00c9 por isso que a Dimac est\u00e1 usando Intelig\u00eancia Artificial para aprender com os defeitos e melhorar o controle de qualidade, al\u00e9m de adicionar a tecnologia \u00e0s suas m\u00e1quinas de inspe\u00e7\u00e3o e classifica\u00e7\u00e3o de \u00faltima gera\u00e7\u00e3o.<\/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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As caracter\u00edsticas dimensionais e a estrutura do material podem ser 100% controladas com a tecnologia de m\u00e1quinas de inspe\u00e7\u00e3o e triagem de ponta, mas ainda existem defeitos de aspectos<\/b> que muitas vezes exigem uma inspe\u00e7\u00e3o visual final, que s\u00f3 o olho humano pode garantir por meio de triagem manual.<\/span><\/p>

A Dimac implementou, portanto, novo\u00a0<\/b><\/span>Intelig\u00eancia Artificial<\/b><\/a>\u00a0algoritmos de IA<\/b> para processar as imagens capturadas pelas c\u00e2meras digitais de superf\u00edcie e dar suporte ao operador no processo de aprendizado de defeitos. Pe\u00e7as defeituosas s\u00e3o posicionadas abaixo das c\u00e2meras de superf\u00edcie, o sistema ent\u00e3o adquire as imagens e o operador destaca o defeito na imagem na tela sens\u00edvel ao toque usando as ferramentas dispon\u00edveis.<\/span><\/p>

Defeitos como trincas, manchas, deforma\u00e7\u00f5es, falhas, amassados e falta de material, que podem n\u00e3o afetar as dimens\u00f5es da pe\u00e7a, s\u00e3o destacados pelo operador e ensinados no sistema.<\/b> Ap\u00f3s o processo inicial de aprendizado r\u00e1pido, o sistema ser\u00e1 capaz de reconhecer defeitos semelhantes no lote e a m\u00e1quina conseguir\u00e1 classificar as pe\u00e7as. Os algoritmos de IA exigem a disponibilidade de uma galeria de amostras NOK, a fim de criar uma biblioteca de imagens de defeitos visuais, que se tornar\u00e1 a refer\u00eancia para o treinamento do 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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Os benef\u00edcios da Intelig\u00eancia Artificial n\u00e3o se limitam \u00e0 inspe\u00e7\u00e3o<\/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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Os algoritmos podem interagir com o sistema ERP de uma empresa<\/b> para trocar uma grande quantidade de dados referentes ao ciclo de classifica\u00e7\u00e3o de cada lote de fixadores \u2013 caracter\u00edsticas medidas, defeitos de atributo e estat\u00edsticas de rastreamento sobre a distribui\u00e7\u00e3o de defeitos no lote.<\/span><\/p>

Recursos de IA est\u00e3o inclu\u00eddos no software de inspe\u00e7\u00e3o de vis\u00e3o Dimac mcvx da \u00faltima gera\u00e7\u00e3o, otimizado para a marca. nova m\u00e1quina de inspe\u00e7\u00e3o e classifica\u00e7\u00e3o de alta velocidade mcv6<\/b>, com uma mesa girat\u00f3ria de vidro. O mcv6 representa outro passo importante para a Dimac ao longo\u00a0<\/span>o caminho para zero defeitos como \u00e9 um <\/span>M\u00e1quina nativa de IA<\/b><\/span>, rodando com um controlador sem ventoinha baseado em um processador Intel de 8\u00aa gera\u00e7\u00e3o de 2660 Mhz DDR4 com portas GigE para c\u00e2meras digitais de alta resolu\u00e7\u00e3o e portas USB de \u00faltima gera\u00e7\u00e3o 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\tMAIS SOBRE O 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\/pt\/archives\/how-to-improve-quality-control-uning-artificial-intelligence\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\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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