{"id":81688,"date":"2024-11-26T15:33:43","date_gmt":"2024-11-26T07:33:43","guid":{"rendered":"https:\/\/solomon-3d.mesvr.tw\/?p=81688"},"modified":"2024-12-20T14:03:52","modified_gmt":"2024-12-20T06:03:52","slug":"surgical-mask-inspection-using-ai","status":"publish","type":"post","link":"https:\/\/solomon-3d.mesvr.tw\/es\/casos-de-exito\/surgical-mask-inspection-using-ai\/","title":{"rendered":"Inspecci\u00f3n de mascarillas quir\u00fargicas con IA"},"content":{"rendered":"
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<\/span>\"pile
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SolVisionEstudio de casos<\/strong><\/strong><\/span><\/h2>\n\n\n\n
Productos farmac\u00e9uticos y m\u00e9dicos<\/a><\/div>\n<\/div><\/div>\n\n\n\n
<\/div>\n\n\n

Inspecci\u00f3n de mascarillas quir\u00fargicas con IA<\/h1><\/div><\/div>\n\n\n\n
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Cliente<\/h2>\n\n\n\n

El cliente es un fabricante de suministros m\u00e9dicos con sede en Asia.<\/p>\n\n\n\n

<\/div>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n
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Caso<\/h2>\n\n\n\n
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Garantizar la calidad en la producci\u00f3n automatizada de mascarillas<\/h3>\n\n\n\n

Las mascarillas de grado m\u00e9dico desempe\u00f1an un papel crucial en la protecci\u00f3n contra bacterias, fluidos corporales, part\u00edculas en el aire y virus. Su producci\u00f3n est\u00e1 en gran medida automatizada, con procesos como el corte de materiales, la soldadura de bandas para las orejas y el embalaje manejados por m\u00e1quinas. A pesar de esta automatizaci\u00f3n, la inspecci\u00f3n de calidad sigue siendo una tarea laboriosa, que requiere esfuerzo manual para garantizar que cada mascarilla cumpla con los est\u00e1ndares necesarios.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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<\/div>\n\n\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n
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Desafiar<\/h2>\n\n\n\n
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Identificaci\u00f3n de defectos de mascarillas con m\u00e9todos de inspecci\u00f3n tradicionales<\/h3>\n\n\n\n

Los defectos de la mascarilla pueden variar ampliamente, incluidos cables o componentes faltantes, costuras incorrectas, agujeros rasgados, manchas, protuberancias en los bordes y capas da\u00f1adas. Adem\u00e1s, las mascarillas a menudo se distribuyen de forma no sistem\u00e1tica a lo largo de la l\u00ednea de producci\u00f3n, lo que complica a\u00fan m\u00e1s el proceso de inspecci\u00f3n. Debido a estas variaciones e inconsistencias, los m\u00e9todos de inspecci\u00f3n tradicionales tienen dificultades para identificar todos los defectos potenciales de manera efectiva y eficiente.<\/p>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n

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Soluci\u00f3n<\/h2>\n\n\n\n
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Detecci\u00f3n de defectos impulsada por IA<\/h3>\n\n\n\n

SolVision<\/a><\/strong> aborda el desaf\u00edo de numerosas variaciones de defectos mediante la implementaci\u00f3n de un sistema de inspecci\u00f3n basado en im\u00e1genes. Este sistema consiste en etiquetar los defectos de la m\u00e1scara en las im\u00e1genes de muestra, que luego se utilizan para entrenar un modelo de IA. Una vez que se entrena el modelo, lo que toma solo unos minutos en SolVision, la IA reconoce con precisi\u00f3n varios defectos en las im\u00e1genes capturadas, lo que permite la identificaci\u00f3n instant\u00e1nea de m\u00e1scaras defectuosas en el l\u00ednea de producci\u00f3n.<\/p>\n\n\n\n

<\/div>\n\n\n\n
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Detecci\u00f3n de defectos<\/a><\/a><\/h4>\n\n\n\n
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\"Defective<\/figure>\n<\/div>\n\n\n

Protrusi\u00f3n<\/strong><\/strong><\/p>\n<\/div>\n\n\n\n

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

Falta la pinza nasal<\/strong><\/strong><\/p>\n<\/div>\n\n\n\n

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

Agujero<\/strong><\/strong><\/p>\n<\/div>\n\n\n\n

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

Agujero<\/strong><\/strong><\/p>\n<\/div>\n\n\n\n

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

Correa ca\u00edda<\/strong><\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n

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Resultado<\/h2>\n\n\n\n
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<\/path><\/svg>Identificaci\u00f3n acelerada de defectos<\/span><\/div>
<\/path><\/svg>Detecci\u00f3n de defectos consistente y precisa garantizada<\/span><\/div>
<\/path><\/svg>Flujo de producci\u00f3n optimizado con detecci\u00f3n de defectos en tiempo real<\/span><\/div><\/div>\n<\/div>\n<\/div>\n <\/div><\/div>","protected":false},"excerpt":{"rendered":"

SolVision utiliza tecnolog\u00eda de aprendizaje profundo para una inspecci\u00f3n mejorada de mascarillas quir\u00fargicas, asegurando una detecci\u00f3n precisa de defectos y un mejor control de calidad.<\/p>","protected":false},"author":14,"featured_media":56145,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_gspb_post_css":"#gspb_heading-id-gsbp-5f6009ef-2b72{font-size:60px;line-height:100px;text-align:center!important;color:var(--gs-colorone);margin-top:50px}#gspb_heading-id-gsbp-5f6009ef-2b72 .gsap-g-line{text-align:center!important}#gspb_heading-id-gsbp-5f6009ef-2b72 .gspb_heading_subtitle,#gspb_subheading-id-gsbp-5f6009ef-2b72{display:block;line-height:22px;margin-top:5px;font-size:30px;color:var(--wp--preset--color--white, #ffffff)}.gspb_text-id-gsbp-fa6ec577-bc74{font-size:20px;text-align:center!important;font-weight:500!important}.gspb_text-id-gsbp-fa6ec577-bc74 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