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Descripción
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| Abstract We present the application of a cyber-physical system for inprocess quality control based on the visual inspection of a laser surface heat treatment process. To do this, we propose a classification framework that detects anomalies in recorded video sequences that have been preprocessed using a clustering-based method for feature subset selection. One peculiarity of the classification task is that there are no examples with errors, since major irregularities seldom occur in efficient industrial processes. | |
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Internacional
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No |
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DOI
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10.1007/978-3-662-53806-7_3 |
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Edición del Libro
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Editorial del Libro
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Springer |
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ISBN
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978-3-662-53806-7 |
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Serie
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Título del Libro
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Machine learning for cybernetic physical systems |
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Desde página
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17 |
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Hasta página
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24 |