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Bin Picking Colaborativo para a Indústria Automóvel
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Ao longo dos últimos anos, temos assistido a uma automatização de crescimento gradual no ramo industrial, maioritariamente na manufatura de componentes para diversas outras indústrias.
Contudo, com essa automatização, certos problemas de complexidade têm vindo a ser colocados a empresas de manufatura, que necessitam de produzir uma maior quantidade de componentes, com ciclos de vida continuamente mais curtos, em períodos menores.
Em consequência do mencionado anteriormente, a maior parte de todos os componentes produzidos irão acabar em cestos de arranjo aleatório, dificultando o seu reconhecimento e subsequente processamento.
Esta tese terá como objetivo, portanto, o design e implementação de um sistema automático de bin-picking com recurso a auxílio visual - reconhecimento de imagem em tempo real.
Over the last few years, we have witnessed a gradually increasing automation within the industry business, mainly within the mass production of various components for a myriad of other industry companies. However, due to said automation, certain complexity problems have been placed on the table of manufacturing companies, who require to produce a bigger number of compo-nents, with lifecycles increasingly shorter, in a very small window of time. As a direct consequence of that, most of the components produced will end up in bins with a random arrangement, which makes their recognition and subsequent processing ex-tremely difficult. This thesis will, therefore, have as its final objective the design and implementation of an automatic system of bin picking with the aid of auxiliary visual input - image recognition in real time.
Over the last few years, we have witnessed a gradually increasing automation within the industry business, mainly within the mass production of various components for a myriad of other industry companies. However, due to said automation, certain complexity problems have been placed on the table of manufacturing companies, who require to produce a bigger number of compo-nents, with lifecycles increasingly shorter, in a very small window of time. As a direct consequence of that, most of the components produced will end up in bins with a random arrangement, which makes their recognition and subsequent processing ex-tremely difficult. This thesis will, therefore, have as its final objective the design and implementation of an automatic system of bin picking with the aid of auxiliary visual input - image recognition in real time.
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Bin picking Robô industrial Processamento de Imagem Simulação