{"id":90092,"date":"2025-03-03T09:00:28","date_gmt":"2025-03-03T01:00:28","guid":{"rendered":"https:\/\/solomon-3d.mesvr.tw\/?p=90092"},"modified":"2025-03-03T09:10:22","modified_gmt":"2025-03-03T01:10:22","slug":"welding-bead-defect-detection-using-ar-ai","status":"publish","type":"post","link":"https:\/\/solomon-3d.mesvr.tw\/fr\/etudes-de-cas\/welding-bead-defect-detection-using-ar-ai\/","title":{"rendered":"D\u00e9tection des d\u00e9fauts des cordons de soudure \u00e0 l’aide de la r\u00e9alit\u00e9 augment\u00e9e et de l’intelligence artificielle"},"content":{"rendered":"
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META-aivi\u00c9tude de cas<\/span><\/h2>\n\n\n\n
<\/span><\/a>Automobile<\/a><\/span> | Fabrication<\/a><\/div>\n<\/div><\/div>\n\n\n\n
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D\u00e9tection des d\u00e9fauts des cordons de soudure \u00e0 l’aide de la r\u00e9alit\u00e9 augment\u00e9e et de l’intelligence artificielle<\/h1><\/div><\/div>\n\n\n\n
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Client<\/h2>\n\n\n\n

Le client est un constructeur automobile bas\u00e9 en Asie.<\/p>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n

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Case<\/h2>\n\n\n\n
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D\u00e9fis li\u00e9s \u00e0 l’examen de la qualit\u00e9 du soudage<\/h3>\n\n\n\n

Les voitures pr\u00e9sentent de multiples surfaces et caract\u00e9ristiques complexes, ce qui entra\u00eene des variations dans les emplacements et les techniques de soudage. L’examen de la qualit\u00e9 du soudage automobile n\u00e9cessite une inspection sous plusieurs angles en raison de la forme irr\u00e9guli\u00e8re du ch\u00e2ssis et des panneaux de carrosserie du v\u00e9hicule. L’automatisation de ce processus est difficile et co\u00fbteuse, ce qui conduit \u00e0 une d\u00e9pendance \u00e0 l’inspection manuelle. Cependant, si le personnel est n\u00e9gligent dans son inspection, des produits d\u00e9fectueux peuvent entrer sur le march\u00e9, ce qui pr\u00e9sente un risque pour la s\u00e9curit\u00e9 routi\u00e8re.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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\"close<\/div>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n
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D\u00e9fi<\/h2>\n\n\n\n
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Limites de l’inspection manuelle des d\u00e9fauts irr\u00e9guliers dans le soudage automobile<\/h3>\n\n\n\n

L’inspection manuelle de la qualit\u00e9 des soudures automobiles peut conduire \u00e0 n\u00e9gliger des d\u00e9fauts irr\u00e9guliers. Malgr\u00e9 les techniques de soudage avanc\u00e9es, il reste difficile de garantir une soudure parfaite. Les ch\u00e2ssis comportent de multiples points d’inspection et des caract\u00e9ristiques \u00e0 multiples facettes, ce qui fait de l’inspection manuelle la principale solution actuelle, mais la qualit\u00e9 in\u00e9gale est un probl\u00e8me.<\/p>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n

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Solution<\/h2>\n\n\n\n
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Am\u00e9liorer la pr\u00e9cision de l’inspection manuelle avec META-aivi<\/h3>\n\n\n\n

En utilisant la fonction de d\u00e9tection des d\u00e9fauts de META-aivi<\/a>, des mod\u00e8les d’IA peuvent \u00eatre form\u00e9s et t\u00e9l\u00e9charg\u00e9s dans le syst\u00e8me pour des points de soudure qualifi\u00e9s. Cela permet \u00e0 l’IA d’inspecter les sections soud\u00e9es \u00e0 l’aide de lunettes AR ou d’une tablette pour reconna\u00eetre rapidement les soudures d\u00e9fectueuses. Un retour d’information en r\u00e9alit\u00e9 augment\u00e9e est fourni en temps r\u00e9el, permettant au personnel de corriger les erreurs gr\u00e2ce \u00e0 des instructions \u00e0 l’\u00e9cran, garantissant ainsi la qualit\u00e9 du soudage. META-aivi peut \u00e9galement faire la distinction entre les types de d\u00e9fauts tels que la soudure incompl\u00e8te, les trous de sable, la carbonisation et les projections. Par exemple, si des d\u00e9fauts de trous de sable sont d\u00e9tect\u00e9s en permanence, cela sugg\u00e8re la n\u00e9cessit\u00e9 de remplacer les fils de soudure, tandis que les cas fr\u00e9quents de soudure incompl\u00e8te peuvent n\u00e9cessiter une inspection de la buse. Les donn\u00e9es accumul\u00e9es peuvent \u00eatre utilis\u00e9es \u00e0 des fins d’analyse et de maintenance ult\u00e9rieures du Big Data. De plus, les historiques d’inspection des produits peuvent \u00eatre g\u00e9n\u00e9r\u00e9s, num\u00e9risant ainsi efficacement le processus d’inspection.<\/p>\n\n\n\n

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R\u00e9sultats de l’inspection META-aivi<\/strong><\/h4>\n\n\n\n
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\"an<\/div>\n\n\n\n
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Lors de l’inspection AI, META-aivi d\u00e9tecte tout d\u00e9faut de soudure<\/h5>\n<\/div>\n\n\n\n
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\"AI<\/div>\n\n\n\n
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Les r\u00e9sultats de l’inspection de l’IA sont affich\u00e9s en temps r\u00e9el sur l’\u00e9cran de l’appareil AR<\/h5>\n<\/div>\n <\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n
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R\u00e9sultat<\/h2>\n\n\n\n
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<\/path><\/svg>La technologie d’IA de META-aivi d\u00e9tecte les d\u00e9fauts de soudage en temps r\u00e9el, permettant une identification rapide et pr\u00e9cise<\/span><\/div>
<\/path><\/svg>META-aivi a \u00e9galement pu identifier diff\u00e9rents types de d\u00e9fauts de soudage et accumuler des donn\u00e9es pour une analyse plus approfondie<\/span><\/div>
<\/path><\/svg>META-aivi a r\u00e9duit les taux d’erreur et assur\u00e9 la qualit\u00e9 des produits passant l’inspection<\/span><\/div><\/div>\n<\/div>\n<\/div>\n <\/div><\/div>","protected":false},"excerpt":{"rendered":"

Les mod\u00e8les d’IA peuvent \u00eatre form\u00e9s et t\u00e9l\u00e9charg\u00e9s dans le syst\u00e8me pour des points de soudure qualifi\u00e9s. Cela permet d’inspecter les sections soud\u00e9es \u00e0 l’aide de lunettes AR ou d’une tablette pour reconna\u00eetre rapidement les soudures d\u00e9fectueuses.<\/p>","protected":false},"author":36,"featured_media":37887,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_gspb_post_css":"#gspb_heading-id-gsbp-98a71402-b1a0{font-size:60px;line-height:100px;text-align:center!important;color:var(--gs-colorone);margin-top:50px}#gspb_heading-id-gsbp-98a71402-b1a0 .gsap-g-line{text-align:center!important}#gspb_heading-id-gsbp-98a71402-b1a0 .gspb_heading_subtitle,#gspb_subheading-id-gsbp-98a71402-b1a0{display:block;line-height:22px;margin-top:5px;font-size:30px;color:var(--wp--preset--color--white, #ffffff)}.gspb_text-id-gsbp-c3844e90-556c{font-size:20px;text-align:center!important;font-weight:500!important}.gspb_text-id-gsbp-c3844e90-556c 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