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...
Enregistré dans:
| Auteurs principaux: | , , , |
|---|---|
| Format: | Online |
| Langue: | spa |
| Publié: |
Universida de Sonora
2023
|
| Accès en ligne: | https://invurnus.unison.mx/index.php/INVURNUS/article/view/79 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| Résumé: | 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. |
|---|
