Supervised Learning Plastic Defect Algorithm Detection

The goal of this research is to develop a supervised learning algorithm able to detect the defects of plastic’s material. Finding patterns or examples in a dataset that differ from the norm is known as anomaly detection in plastic textures. Anomalies, in the context of plastic textures, can refer to...

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Bibliographic Details

Published in:	The Annals of "Dunărea de Jos" University of Galaţi. Fascicle IX, Metallurgy and Material Science (Online) Vol. 46; no. 4; pp. 89 - 92
Main Authors:	MARIN, Florin Bogdan, MARIN, Mihaela
Format:	Journal Article
Language:	English
Published:	Galati University Press 15.12.2023
Subjects:	advanced driver assistance system computer vision passenger fatigue detection
ISSN:	2668-4748, 2668-4756
Online Access:	Get full text
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