{"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\/fr\/archives\/how-to-improve-quality-control-uning-artificial-intelligence\/","title":{"rendered":"Comment am\u00e9liorer le contr\u00f4le de la qualit\u00e9 gr\u00e2ce \u00e0 l'intelligence artificielle ?"},"content":{"rendered":"
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Tirer les le\u00e7ons des d\u00e9fauts pour am\u00e9liorer le contr\u00f4le de la qualit\u00e9<\/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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Comme pour tout projet de fabrication important ou complexe, il n'est techniquement pas possible d'atteindre le z\u00e9ro d\u00e9faut, mais cela reste souhaitable. C'est pourquoi Dimac utilise l'intelligence artificielle pour tirer des enseignements des d\u00e9fauts et am\u00e9liorer le contr\u00f4le de la qualit\u00e9, et ajoute cette technologie \u00e0 sa derni\u00e8re g\u00e9n\u00e9ration de machines d'inspection et de tri.<\/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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Les caract\u00e9ristiques dimensionnelles et la structure des mat\u00e9riaux peuvent \u00eatre contr\u00f4l\u00e9es gr\u00e2ce \u00e0 la technologie de pointe des machines d'inspection et de tri. d\u00e9fauts d'aspects<\/b> qui n\u00e9cessitent souvent un contr\u00f4le visuel final, que seul l'\u0153il humain peut garantir par un tri manuel.<\/span><\/p>

Dimac a donc mis en \u0153uvre nouveau\u00a0<\/b><\/span>Intelligence artificielle<\/b><\/a>\u00a0Algorithmes d'intelligence artificielle (IA)<\/b> pour traiter les images prises par les cam\u00e9ras num\u00e9riques de surface et pour aider l'op\u00e9rateur dans le processus d'apprentissage des d\u00e9fauts. Les pi\u00e8ces d\u00e9fectueuses sont plac\u00e9es sous les cam\u00e9ras de surface, le syst\u00e8me acquiert alors les images et l'op\u00e9rateur met en \u00e9vidence le d\u00e9faut dans l'image sur l'\u00e9cran tactile \u00e0 l'aide des outils disponibles.<\/span><\/p>

Les d\u00e9fauts tels que les fissures, les taches, les d\u00e9formations, les creux, les bosses et les manques de mati\u00e8re, qui peuvent ne pas affecter les dimensions de la pi\u00e8ce, sont mis en \u00e9vidence par l'op\u00e9rateur et int\u00e9gr\u00e9s dans le syst\u00e8me.<\/b> Apr\u00e8s le processus pr\u00e9liminaire d'apprentissage rapide, le syst\u00e8me sera capable de reconna\u00eetre des d\u00e9fauts similaires dans le lot et la machine sera en mesure de trier les pi\u00e8ces. Les algorithmes d'IA n\u00e9cessitent la disponibilit\u00e9 d'une galerie d'\u00e9chantillons NOK, afin de cr\u00e9er une biblioth\u00e8que d'images de d\u00e9fauts visuels, qui devient la r\u00e9f\u00e9rence pour l'apprentissage du syst\u00e8me.<\/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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Les avantages de l'intelligence artificielle ne se limitent pas \u00e0 l'inspection<\/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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Les algorithmes peuvent interagir avec le syst\u00e8me ERP de l'entreprise.<\/b> \u00e9changer une grande quantit\u00e9 de donn\u00e9es concernant le cycle de tri de chaque lot d'\u00e9l\u00e9ments de fixation - caract\u00e9ristiques mesur\u00e9es, d\u00e9fauts attribu\u00e9s et statistiques de suivi concernant la r\u00e9partition des d\u00e9fauts dans le lot.<\/span><\/p>

La derni\u00e8re g\u00e9n\u00e9ration du logiciel d'inspection par vision Dimac mcvx, optimis\u00e9 pour la marque, int\u00e8gre des fonctions d'intelligence artificielle. nouvelle machine d'inspection et de tri \u00e0 grande vitesse mcv6<\/b>, La mcv6 a \u00e9t\u00e9 con\u00e7ue sur la base d'une table rotative en verre. La mcv6 repr\u00e9sente une nouvelle \u00e9tape importante pour Dimac.\u00a0<\/span>la voie vers le z\u00e9ro d\u00e9faut, car il s'agit d'un <\/span>Machine native AI<\/b><\/span>, Il est \u00e9quip\u00e9 d'un contr\u00f4leur sans ventilateur bas\u00e9 sur un processeur de la 8e g\u00e9n\u00e9ration Intel 2660 Mhz DDR4 avec des ports GigE pour les appareils photo num\u00e9riques \u00e0 haute r\u00e9solution et des ports USB ultimes pour les p\u00e9riph\u00e9riques externes.<\/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\tEN SAVOIR PLUS SUR LE 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\/fr\/archives\/how-to-improve-quality-control-uning-artificial-intelligence\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\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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