Defect Detection on Rolling Element Surface Scans Using Neural Image Segmentation

Defect Detection on Rolling Element Surface Scans Using Neural Image Segmentation

The surface inspection of steel parts like rolling elements for roller bearings is an essential component of the quality assurance process in their production. Existing inspection systems require high maintenance cost and allow little flexibility. In this paper, we propose the use of a rapidly retra...

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Bibliographic Details
Main Authors: Nico Prappacher, Markus Bullmann, Gunther Bohn, Frank Deinzer, Andreas Linke
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Applied Sciences
Subjects:
automated optical inspection
image segmentation
convolutional neural networks
surface defects
quality control
Online Access:https://www.mdpi.com/2076-3417/10/9/3290

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https://www.mdpi.com/2076-3417/10/9/3290

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