{"id":13052,"date":"2024-03-06T10:39:55","date_gmt":"2024-03-06T09:39:55","guid":{"rendered":"https:\/\/www.dimacsrl.com\/?p=13052"},"modified":"2025-02-19T17:09:16","modified_gmt":"2025-02-19T16:09:16","slug":"case-study-ai-tools-for-controlling-anodized-titanium-rivets-2","status":"publish","type":"post","link":"https:\/\/www.dimacsrl.com\/pt\/archives\/case-study-ai-tools-for-controlling-anodized-titanium-rivets-2\/","title":{"rendered":"Estudo de caso - Ferramentas de IA para controle de rebites anodizados"},"content":{"rendered":"
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IA e precis\u00e3o de medi\u00e7\u00e3o, os desafios no controle de rebites anodizados<\/h4>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Projetada especificamente para o controle de qualidade de rebites anodizados, a m\u00e1quina de classifica\u00e7\u00e3o deste estudo de caso \u00e9 uma m\u00e1quina de mesa rotativa de placa met\u00e1lica indexada, modelo MCV1, equipada com esta\u00e7\u00f5es e software dedicados.<\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Al\u00e9m do pr\u00e9-requisito de uma taxa de sele\u00e7\u00e3o n\u00e3o inferior a 100 pcs\/minuto, o contexto apresenta tr\u00eas controles desafiadores.<\/p>

  1. Rebite Di\u00e2metro do corpo m<\/strong>medi\u00e7\u00e3o com toler\u00e2ncias de produ\u00e7\u00e3o rigorosas obrigat\u00f3rias de at\u00e9 12 \u03bcm<\/strong><\/li>
  2. Controle do formato do rebaixo hexagonal da haste para detectar pe\u00e7as com brochamento duplo<\/strong><\/li>
  3. Detec\u00e7\u00e3o de defeitos do logotipo de marca\u00e7\u00e3o na parte superior da superf\u00edcie da cabe\u00e7a<\/strong><\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    Durante a fase de testes, a situa\u00e7\u00e3o se mostrou ainda mais complexa devido ao revestimento da superf\u00edcie dos rebites, que \u00e9 delicado e pode ser facilmente arranhado.\u00a0<\/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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    Controle de toler\u00e2ncia de 12 \u03bcm<\/strong><\/h6>

    Os sistemas de vis\u00e3o da Dimac s\u00e3o projetados para garantir o controle preciso das toler\u00e2ncias de produ\u00e7\u00e3o, especialmente para aplica\u00e7\u00f5es de pe\u00e7as met\u00e1licas pequenas, com foco em toler\u00e2ncias de at\u00e9 50\u03bcm. Para toler\u00e2ncias ainda mais r\u00edgidas, nosso sistema de controle \u00e9 adaptado ad hoc, incorporando medidas que se tornam mais rigorosas \u00e0 medida que as toler\u00e2ncias diminuem. Implementamos um algoritmo de corre\u00e7\u00e3o de aberra\u00e7\u00e3o de lente, juntamente com ilumina\u00e7\u00e3o de fundo dedicada e uma c\u00e2mera de resolu\u00e7\u00e3o mais alta combinada com lentes telec\u00eantricas de alta qualidade. Essa combina\u00e7\u00e3o visa minimizar o impacto das irregularidades do vidro e padronizar os efeitos de difra\u00e7\u00e3o na borda da pe\u00e7a em v\u00e1rias imagens. Para neutralizar os efeitos da sujeira ambiental no ambiente de produ\u00e7\u00e3o, nosso sistema de vis\u00e3o inclui filtros de software avan\u00e7ados para maior prote\u00e7\u00e3o e confiabilidade.<\/p>

    Todo o processo de medi\u00e7\u00e3o exige uma grande capacidade de computa\u00e7\u00e3o, devido \u00e0 necessidade de capturar 3 imagens por pe\u00e7a (uma a cada 120\u00b0) a uma taxa de 100 pe\u00e7as por minuto, tudo isso utilizando v\u00e1rios filtros de software. Para atender a essa demanda, utilizamos um computador industrial equipado com uma placa gr\u00e1fica NVIDIA\u00ae. O resultado \u00e9 uma m\u00e1quina que passou com sucesso nos testes MSA1 e MSA3, mesmo dentro da faixa de toler\u00e2ncia do projeto de 12 \u03bcm. Vale ressaltar que o aumento da resolu\u00e7\u00e3o da c\u00e2mera traz benef\u00edcios significativos para a qualidade da medi\u00e7\u00e3o, mas pode afetar a produtividade. No entanto, a solu\u00e7\u00e3o adotada representa o equil\u00edbrio ideal entre os controles obrigat\u00f3rios e a produtividade, garantindo a melhor combina\u00e7\u00e3o de qualidade e custo.<\/b><\/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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    Verifica\u00e7\u00e3o do formato do rebaixo hexagonal inferior da haste<\/strong><\/h6>

    Os controles obrigat\u00f3rios incluem: verificar a presen\u00e7a do rebaixo na parte inferior da haste, verificar o formato hexagonal do rebaixo e a aus\u00eancia de um efeito de brochamento duplo (um formato de estrela resultante de uma leve mudan\u00e7a de fase entre a primeira e a segunda passagem do corte) e verificar as caracter\u00edsticas do logotipo de marca\u00e7\u00e3o na superf\u00edcie superior da cabe\u00e7a.<\/p>

    Os principais desafios, mais uma vez, envolvem garantir a estabilidade da imagem, destacar adequadamente todas as situa\u00e7\u00f5es de defeito e implementar um algoritmo de interpreta\u00e7\u00e3o capaz de reconhecer os defeitos sem acionar falsas rejei\u00e7\u00f5es.<\/p>

    Para resolver os problemas de imagem, escolhemos uma c\u00e2mera entoc\u00eantrica com um iluminador anular coaxial direcionado para a borda inferior da haste. Esse iluminador fornece ilumina\u00e7\u00e3o uniforme somente quando a pe\u00e7a est\u00e1 precisamente canterizada (com d\u00e9cimos de mil\u00edmetros sendo cruciais).<\/strong><\/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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    Aproveitando a toler\u00e2ncia de produ\u00e7\u00e3o de 12\u03bcm no di\u00e2metro da haste do corpo, as ranhuras no mostrador de transporte foram cuidadosamente projetadas para servir como restri\u00e7\u00e3o vertical para pendurar e guiar a pe\u00e7a. Uma trava de mola posicionada acima da mesa girat\u00f3ria, juntamente com o assento preciso oferecido pelo chanfro das ranhuras do mostrador para a cabe\u00e7a do rebite, garante que a pe\u00e7a permane\u00e7a na posi\u00e7\u00e3o mesmo na presen\u00e7a de vibra\u00e7\u00f5es.<\/p>

    O resultado \u00e9 uma imagem em que o recesso hexagonal inferior aparece proeminentemente em preto dentro da coroa circular clara da chave da pe\u00e7a. Isso foi bom, mas n\u00e3o o suficiente para garantir a detec\u00e7\u00e3o de um recesso de broca dupla, pois a presen\u00e7a de sujeira poderia afetar o controle. Por esse motivo, foi desenvolvido um algoritmo que se baseia na an\u00e1lise do gradiente de luz, especificamente a extens\u00e3o de uma faixa cinza ao redor da circunfer\u00eancia do hex\u00e1gono. <\/b>O algoritmo conta quantas vezes o gradiente cruza um segundo di\u00e2metro de circunfer\u00eancia definido pelo usu\u00e1rio. Essa circunfer\u00eancia medida define o limite entre a sujeira aceit\u00e1vel e os defeitos reais, permitindo uma sensibilidade de controle ajust\u00e1vel.<\/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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    Verifica\u00e7\u00e3o dos caracteres do logotipo de marca\u00e7\u00e3o\u00a0
    na parte superior da superf\u00edcie da cabe\u00e7a<\/strong><\/h6>

    Na cabe\u00e7a plana superior do rebite, uma marca\u00e7\u00e3o de conte\u00fado vari\u00e1vel, como o lote de produ\u00e7\u00e3o, \u00e9 impressa. \u00c0 medida que a pe\u00e7a se move sob o marcador, pode acontecer de a escrita parecer dupla ou borrada, tornando-a ileg\u00edvel.<\/span><\/p>

    A estabilidade da imagem \u00e9 fundamental para esse processo, pois qualquer instabilidade cria ru\u00eddo de fundo, obscurecendo a linha entre componentes em conformidade e n\u00e3o conformes. Os m\u00e9todos tradicionais de an\u00e1lise de imagem s\u00e3o limitados e, mesmo com o aux\u00edlio das fun\u00e7\u00f5es de OCR (reconhecimento \u00f3ptico de caracteres), n\u00e3o \u00e9 poss\u00edvel processar 100 pe\u00e7as por minuto.<\/p>

    A IA vem em nosso aux\u00edlio oferecendo uma solu\u00e7\u00e3o que inclui o treinamento de uma rede neural para se concentrar exclusivamente no reconhecimento do defeito, n\u00e3o no conte\u00fado textual da reda\u00e7\u00e3o. <\/b>A IA ignora o significado do texto controlado, mas \u00e9 capaz de identificar as peculiaridades associadas ao defeito no texto escrito.<\/p>

    Como nas verifica\u00e7\u00f5es anteriores, o desafio est\u00e1 em encontrar o equil\u00edbrio certo entre os tempos de computa\u00e7\u00e3o, o discernimento de defeitos e o investimento na qualidade dos componentes.<\/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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    Manuseio de pe\u00e7as com revestimento de superf\u00edcie delicado<\/strong><\/h6>

    Os rebites anodizados normalmente n\u00e3o requerem procedimentos especiais de manuseio no sistema de alimenta\u00e7\u00e3o, exceto durante a configura\u00e7\u00e3o da m\u00e1quina, quando a pe\u00e7a gira 360\u00b0 dentro das ranhuras do disco de transporte. Ocasionalmente, a superf\u00edcie lateral do corpo cil\u00edndrico pode sofrer abras\u00e3o durante o contato entre a haste do rebite e a ranhura do disco de metal, o que n\u00e3o afeta a funcionalidade da pe\u00e7a, mas deve ser evitado por motivos est\u00e9ticos. Para evitar abras\u00f5es, um m\u00e9todo comum \u00e9 levantar a pe\u00e7a do disco, mas isso n\u00e3o \u00e9 recomendado aqui, devido a restri\u00e7\u00f5es de tempo. Aumentar o di\u00e2metro da ranhura n\u00e3o \u00e9 uma op\u00e7\u00e3o, devido \u00e0 estabilidade precisa da pe\u00e7a necess\u00e1ria para o controle do sextavado inferior. A solu\u00e7\u00e3o final \u00e9 uma rota\u00e7\u00e3o precisa da pe\u00e7a centralizada dentro da folga da ranhura do disco (5 cent\u00e9simos de mil\u00edmetro). A solu\u00e7\u00e3o final \u00e9 uma rota\u00e7\u00e3o precisa da pe\u00e7a centralizada dentro da folga da ranhura do disco (5 cent\u00e9simos de mil\u00edmetros).<\/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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    AI and Training<\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    O controle de Intelig\u00eancia Artificial (IA) difere do software de vis\u00e3o tradicional por n\u00e3o depender de regras predefinidas. Em vez disso, o algoritmo de IA calcula vari\u00e1veis, formando uma rede neural que avalia a similaridade da imagem para categorias como pe\u00e7as compat\u00edveis e n\u00e3o compat\u00edveis. Essa rede determina a porcentagem de semelhan\u00e7a de uma nova imagem com categorias espec\u00edficas.<\/span><\/p>

    A IA vai al\u00e9m da interpreta\u00e7\u00e3o anal\u00edtica de imagens, gerando de forma aut\u00f4noma crit\u00e9rios de pesquisa com l\u00f3gicas n\u00e3o diretamente compreens\u00edveis por humanos. Embora altamente vers\u00e1til e avan\u00e7ada, seus resultados n\u00e3o s\u00e3o totalmente previs\u00edveis de antem\u00e3o, exigindo uma cuidadosa valida\u00e7\u00e3o em campo.<\/span><\/p>

    O processo de treinamento em IA, que envolve uma esta\u00e7\u00e3o de computa\u00e7\u00e3o bem equipada e as licen\u00e7as de software necess\u00e1rias, tamb\u00e9m exige conhecimentos espec\u00edficos.<\/h5>

    \u00c9 fundamental chegar a solu\u00e7\u00f5es eficazes e eficientes do ponto de vista computacional. O processo de IA exige um tempo de c\u00e1lculo substancial para as fases de treinamento e valida\u00e7\u00e3o. Para evitar per\u00edodos improdutivos prolongados do equipamento de classifica\u00e7\u00e3o, o treinamento n\u00e3o \u00e9 realizado na m\u00e1quina de classifica\u00e7\u00e3o.<\/p>

    Para a conveni\u00eancia do usu\u00e1rio, a Dimac oferece servi\u00e7os de treinamento remoto de redes neurais.\u00a0<\/h5>

    O software da m\u00e1quina incorpora um procedimento simples para ajudar os operadores a capturar imagens suficientes de amostras em conformidade e com defeito. A Dimac realiza o treinamento como um servi\u00e7o, refina-o e valida-o e, em seguida, instala a rede neural treinada na m\u00e1quina.<\/p>

    Garantir um controle 100% seguro do logotipo dos caracteres marcados na cabe\u00e7a do rebite representa um desafio que n\u00e3o pode ser resolvido com t\u00e9cnicas tradicionais. Juntamente com a inspe\u00e7\u00e3o visual humana, a IA \u00e9 atualmente a \u00fanica solu\u00e7\u00e3o vi\u00e1vel. O olho humano continua sendo essencial para definir e otimizar o fluxo de trabalho da IA hoje e possivelmente no futuro.<\/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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    AI and measurement precision, the challenges in controlling anodized rivets Designed specifically for the quality control of anodized rivets, the sorting machine in this case study is an indexed metal-plate rotary table machine, model MCV1, equipped with dedicated stations and software. In addition to the prerequisite of a selection rate of no less than 100 […]<\/p>\n","protected":false},"author":1,"featured_media":13484,"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":[8,11,7,52,113],"class_list":["post-13052","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-ai-tools","tag-mcv1","tag-metal-table","tag-rivets","tag-sticky"],"yoast_head":"\nCase study - AI Tools for Controlling Anodized Rivets - 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\/pt\/archives\/case-study-ai-tools-for-controlling-anodized-titanium-rivets-2\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Case study - AI Tools for Controlling Anodized Rivets - Dimac - Automatic Quality Control Systems\" \/>\n<meta property=\"og:description\" content=\"AI and measurement precision, the challenges in controlling anodized rivets Designed specifically for the quality control of anodized rivets, the sorting machine in this case study is an indexed metal-plate rotary table machine, model MCV1, equipped with dedicated stations and software. 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