Autoencoder-Based Visual Anomaly Localization for Manufacturing Quality Control

Manufacturing industries require the efficient and voluminous production of high-quality finished goods. In the context of Industry 4.0, visual anomaly detection poses an optimistic solution for automatically controlled product quality with high precision. In general, automation based on computer vi...

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Bibliographic Details
Main Authors: Devang Mehta, Noah Klarmann
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Machine Learning and Knowledge Extraction
Subjects:
Online Access:https://www.mdpi.com/2504-4990/6/1/1