Using deep learning for quality control in cyber-manufacturing

Using deep learning for quality control in cyber-manufacturing

Even though automation has been applied in most manufacturing production lines, the inspection tasks including 1) defect identification, 2) defect categorization, and 3) defect localization or segmentation are still done by human operators in many factories. The poor accuracy of labour and time-inte...

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Bibliographic Details
Main Author: Dai, Wenting
Other Authors: Alexei Sourin
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2022
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Online Access:https://hdl.handle.net/10356/155249

Internet

https://hdl.handle.net/10356/155249

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