{"id":89256,"date":"2025-02-25T11:43:51","date_gmt":"2025-02-25T03:43:51","guid":{"rendered":"https:\/\/solomon-3d.mesvr.tw\/?p=89256"},"modified":"2025-02-27T09:43:20","modified_gmt":"2025-02-27T01:43:20","slug":"inspection-par-ia-pour-les-composants-semi-conducteurs","status":"publish","type":"post","link":"https:\/\/solomon-3d.mesvr.tw\/fr\/etudes-de-cas\/inspection-par-ia-pour-les-composants-semi-conducteurs\/","title":{"rendered":"Inspection par IA pour les composants semi-conducteurs"},"content":{"rendered":"
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SolVision\u00c9tude de cas<\/span><\/h2>\n\n\n\n
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\u00c9lectronique<\/a>|Reconnaissance optique de caract\u00e8res<\/a><\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n

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Inspection par IA pour les composants semi-conducteurs<\/h1><\/div><\/div>\n\n\n\n

Classification des micro-transistors avec la reconnaissance optique de caract\u00e8res (OCR)<\/strong><\/strong><\/strong><\/h2>\n\n\n\n
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Surveillance du processus de production<\/strong><\/h2>\n\n\n\n

La fabrication de semi-conducteurs implique un grand nombre d\u2019\u00e9tapes complexes et une technologie sophistiqu\u00e9e. Pour surveiller l\u2019ensemble du processus, enregistrer leurs sp\u00e9cifications et d\u00e9tecter rapidement les d\u00e9fauts lors du tri, l\u2019identification des num\u00e9ros de s\u00e9rie des composants, tels que les micro-transistors, est une t\u00e2che essentielle.<\/p>\n<\/div>\n\n\n\n

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\"Optical<\/figure>\n<\/div>\n<\/div>\n\n\n\n
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Limitations des syst\u00e8mes de vision traditionnels<\/strong><\/h2>\n\n\n\n

Le grand nombre de composants et leur diversit\u00e9 d\u2019origine entra\u00eenent une variation des num\u00e9ros de s\u00e9rie en termes de police, de couleur et de taille. Ces variations rendent leur d\u00e9tection difficile pour les syst\u00e8mes d\u2019inspection bas\u00e9s sur des r\u00e8gles, en particulier dans des conditions d\u2019\u00e9clairage insuffisantes ou lorsque les couleurs de fond sont similaires. Ces limitations r\u00e9duisent consid\u00e9rablement la pr\u00e9cision des processus d\u2019inspection visuelle, laissant une marge d\u2019am\u00e9lioration pour optimiser l\u2019efficacit\u00e9 de la production.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Reconnaissance OCR fiable avec SolVision<\/strong><\/h2>\n\n\n\n

SolVision<\/a> peut effectuer rapidement la reconnaissance optique de caract\u00e8res (OCR)<\/a> sans \u00eatre affect\u00e9 par les conditions de fond ou d\u2019\u00e9clairage, la complexit\u00e9 ou l\u2019apparence du num\u00e9ro de s\u00e9rie. Gr\u00e2ce \u00e0 l\u2019apprentissage profond de l\u2019IA, SolVision identifie efficacement chaque chiffre et, \u00e0 mesure que la quantit\u00e9 de donn\u00e9es d\u2019\u00e9chantillon augmente, le syst\u00e8me am\u00e9liore sa rapidit\u00e9 et sa pr\u00e9cision de reconnaissance.<\/p>\n<\/div><\/div><\/div>\n\n\n\n

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Inspection par IA<\/strong><\/strong><\/strong><\/strong><\/h2>\n\n\n\n

Diff\u00e9rentes Polices<\/strong><\/p>\n\n\n\n

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Original<\/strong><\/strong><\/strong><\/p>\n\n\n\n

\"AI<\/figure>\n<\/div>\n\n\n\n
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R\u00e9sultat<\/strong><\/strong><\/strong><\/p>\n\n\n\n

\"AI<\/figure>\n<\/div>\n<\/div>\n\n\n\n

Polices Floues<\/strong><\/p>\n\n\n\n

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Original<\/strong><\/strong><\/strong><\/p>\n\n\n\n

\"AI<\/figure>\n<\/div>\n\n\n\n
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R\u00e9sultat<\/strong><\/strong><\/strong><\/p>\n\n\n\n

\"AI<\/figure>\n<\/div>\n<\/div>\n<\/div><\/div>","protected":false},"excerpt":{"rendered":"

En surmontant les limitations traditionnelles de l’AOI, SolVision de Solomon effectue rapidement la reconnaissance optique de caract\u00e8res (OCR) sans \u00eatre affect\u00e9 par l’arri\u00e8re-plan, les conditions d’\u00e9clairage, la complexit\u00e9 ou l’apparence du num\u00e9ro de s\u00e9rie.<\/p>","protected":false},"author":875,"featured_media":20773,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_gspb_post_css":"#gspb_heading-id-gsbp-d51e703b-ff95{font-size:60px;line-height:100px;text-align:center!important;color:var(--gs-colorone);margin-top:15px;margin-bottom:15px}#gspb_heading-id-gsbp-d51e703b-ff95 .gsap-g-line{text-align:center!important}#gspb_heading-id-gsbp-d51e703b-ff95 .gspb_heading_subtitle,#gspb_subheading-id-gsbp-d51e703b-ff95{display:block;line-height:22px;margin-top:5px;font-size:30px;color:var(--wp--preset--color--white, #ffffff)}.gs-titlebox{background:#fff;line-height:24px;font-size:90%;box-shadow:0 10px 10px #00000007;margin-bottom:25px}.gs-titlebox-text>p{margin-bottom:20px!important;margin-top:0}.gs-titlebox-text>p:last-of-type{margin-bottom:0!important}#gspb_titleBox-id-gsbp-0deb1d81-48a5 .gs-titlebox .gs-title-inbox,#gspb_titleBox-id-gsbp-d7f236a4-825c .gs-titlebox .gs-title-inbox{color:var(--wp--preset--color--black, #000000)}#gspb_titleBox-id-gsbp-0deb1d81-48a5 .gs-titlebox .gs-title-inbox svg,#gspb_titleBox-id-gsbp-d7f236a4-825c .gs-titlebox .gs-title-inbox svg{fill:var(--wp--preset--color--black, #000000)}.gs-titlebox .gs-title-inbox{display:flex;align-content:center;padding:15px 20px;font-weight:700;font-size:115%}.gs-titlebox .gs-title-inbox-label{flex-grow:1}.gs-titlebox .gs-titlebox-text{padding:20px}","footnotes":""},"categories":[3620,3594,3630,3608,3670,3688],"tags":[],"class_list":["post-89256","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-etudes-de-cas","category-classification","category-electronics","category-ocr","category-semiconductors","category-solvision"],"acf":[],"lang":"fr","translations":{"fr":89256,"en":32231,"es":81522,"tw":32431,"zh":59212,"jp":77554,"pt":86405,"de":88120,"tr":91457,"vi":93827,"th":96785,"it":97766,"ko":94990},"_links":{"self":[{"href":"https:\/\/solomon-3d.mesvr.tw\/fr\/wp-json\/wp\/v2\/posts\/89256","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/solomon-3d.mesvr.tw\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/solomon-3d.mesvr.tw\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/solomon-3d.mesvr.tw\/fr\/wp-json\/wp\/v2\/users\/875"}],"replies":[{"embeddable":true,"href":"https:\/\/solomon-3d.mesvr.tw\/fr\/wp-json\/wp\/v2\/comments?post=89256"}],"version-history":[{"count":0,"href":"https:\/\/solomon-3d.mesvr.tw\/fr\/wp-json\/wp\/v2\/posts\/89256\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/solomon-3d.mesvr.tw\/fr\/wp-json\/wp\/v2\/media\/20773"}],"wp:attachment":[{"href":"https:\/\/solomon-3d.mesvr.tw\/fr\/wp-json\/wp\/v2\/media?parent=89256"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/solomon-3d.mesvr.tw\/fr\/wp-json\/wp\/v2\/categories?post=89256"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/solomon-3d.mesvr.tw\/fr\/wp-json\/wp\/v2\/tags?post=89256"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}