Identificación de componentes de color con visión artificial y redes neuronales

The present work detects plastic parts of 2 different colors, red and blue, through the use of photographs of the pieces, which are analyzed through an interface written in the Visual C# programming language. A commonly used WEB camera is used as the vision element that provides the information need...

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Autores principales: Medina Muñoz, Luis Arturo, Rodríguez Senday, Jose Jesus, Morales Solís, Felipe, Mayorquín Robles , Jesús Antonio
格式: Online
语言:spa
出版: Universida de Sonora 2023
在线阅读:https://invurnus.unison.mx/index.php/INVURNUS/article/view/79
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总结:The present work detects plastic parts of 2 different colors, red and blue, through the use of photographs of the pieces, which are analyzed through an interface written in the Visual C# programming language. A commonly used WEB camera is used as the vision element that provides the information needed by the interface, which has an implementation of a neural network trained with the backpropagation algorithm. To achieve this recognition, the traditional process of taking a series of samples as a training set is followed and the project is validated by implementing it on a production line in a local manufacturing industry. The results obtained will show how efficient the system is using artificial vision techniques to process information and the use of a certain neural network structure as a recognition element.