{"id":87525,"date":"2025-02-18T11:32:46","date_gmt":"2025-02-18T03:32:46","guid":{"rendered":"https:\/\/solomon-3d.mesvr.tw\/?p=87525"},"modified":"2025-02-26T09:44:24","modified_gmt":"2025-02-26T01:44:24","slug":"connectivity-cable-classification-using-ar-ai","status":"publish","type":"post","link":"https:\/\/solomon-3d.mesvr.tw\/pt\/casos-de-sucesso\/connectivity-cable-classification-using-ar-ai\/","title":{"rendered":"Classifica\u00e7\u00e3o de cabos de conectividade usando AR + AI"},"content":{"rendered":"
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<\/span>\"\"
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META-aiviCaso de Estudo<\/span><\/h2>\n\n\n\n
Electr\u00f3nica<\/a><\/span><\/div>\n<\/div><\/div>\n\n\n\n
<\/div>\n\n\n

Classifica\u00e7\u00e3o de cabos de conectividade usando AR + AI<\/h1><\/div><\/div>\n\n\n\n
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Cliente<\/h2>\n\n\n\n

O cliente \u00e9 um fabricante de eletr\u00f4nicos com sede na Tail\u00e2ndia, especializado em cabos de conectividade.<\/p>\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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Aprimorando o Processo de Inspe\u00e7\u00e3o de Cabos<\/h3>\n\n\n\n

O cliente buscava uma solu\u00e7\u00e3o para melhorar a qualidade do produto do seu processo de inspe\u00e7\u00e3o de cabos USB, garantindo durabilidade, funcionalidade e conformidade com os padr\u00f5es de seguran\u00e7a. Al\u00e9m disso, eles precisavam realizar uma inspe\u00e7\u00e3o abrangente dos materiais de isolamento externo e dos conectores em busca de rachaduras ou danos. Ao concluir esse processo, os cabos seriam classificados e despachados de acordo com seus respectivos tipos.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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<\/div>\n\n\n\n
\"cable<\/div>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n
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Desafio<\/h2>\n\n\n\n
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Otimizando o Controle de Qualidade e Automatizando a Classifica\u00e7\u00e3o<\/h3>\n\n\n\n

Depender apenas da inspe\u00e7\u00e3o humana dos cabos corre o risco de neglig\u00eancia devido \u00e0 fadiga, levando \u00e0 implementa\u00e7\u00e3o da AOI tradicional<\/a> para detec\u00e7\u00e3o de defeitos. No entanto, isso muitas vezes resulta em sistemas excessivamente sens\u00edveis com configura\u00e7\u00f5es de par\u00e2metros rigorosas, levando \u00e0 identifica\u00e7\u00e3o err\u00f4nea de produtos bons como GN (n\u00e3o bons). Isto exige ajustes cont\u00ednuos por parte dos engenheiros e inspe\u00e7\u00f5es repetidas por parte dos operadores.<\/p>\n\n\n\n

Al\u00e9m disso, a AOI, que exige uma quantidade maior de amostras, s\u00f3 consegue detectar defeitos predefinidos, frequentemente faltando detec\u00e7\u00f5es (vazamento) e impedindo a capacidade de responder rapidamente \u00e0s demandas de produ\u00e7\u00e3o flex\u00edveis.<\/p>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n

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Solu\u00e7\u00e3o<\/h2>\n\n\n\n
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AR + AI para reconhecimento e classifica\u00e7\u00e3o r\u00e1pida<\/h3>\n\n\n\n

Enfrentando desafios de classifica\u00e7\u00e3o, reconhecimento e detec\u00e7\u00e3o, o META-aivi <\/a>integra intelig\u00eancia artificial e realidade aumentada. Exigindo apenas de 5 a 10 amostras de imagem, a IA integrada cria rapidamente um modelo para r\u00e1pida identifica\u00e7\u00e3o e classifica\u00e7\u00e3o de cabos com base no tipo (incluindo: Lightning, USB, RJ45 e HDMI).<\/p>\n\n\n\n

Emparelhados com dispositivos inteligentes, \u00f3culos AR, tablets ou c\u00e2meras port\u00e1teis permitem reconhecimento e classifica\u00e7\u00e3o r\u00e1pidos de diferentes cabos. O sistema facilita a transfer\u00eancia direta dos dados relacionados para o sistema ERP da empresa, gerando registros eletr\u00f4nicos para refer\u00eancia futura e aprimoramento de processos. Isto, por sua vez, melhora as taxas de rendimento e reduz a sa\u00edda de produtos defeituosos.<\/p>\n\n\n\n

<\/div>\n\n\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>Inspe\u00e7\u00e3o de cabos mais precisa e eficiente<\/span><\/div>
<\/path><\/svg>Riscos minimizados de produtos defeituosos<\/span><\/div>
<\/path><\/svg>Transfer\u00eancia de dados simplificada e aprimoramento de processos<\/span><\/div><\/div>\n<\/div>\n<\/div>\n <\/div><\/div>","protected":false},"excerpt":{"rendered":"

META-aivi transforma a inspe\u00e7\u00e3o de cabos com IA, garantindo precis\u00e3o no reconhecimento, classifica\u00e7\u00e3o e detec\u00e7\u00e3o de defeitos para fabrica\u00e7\u00e3o eficiente de eletr\u00f4nicos.<\/p>","protected":false},"author":36,"featured_media":105341,"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, 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