Optical difference engine for defect inspection in highly-parallel manufacturing processes

Traditional defect inspection for highly-parallel manufacturing processes requires the processing of large measurement datasets, which is often not fast enough for in-situ inspection of large areas with high resolution. This study develops an all-optical difference engine for fast defect detection i...

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Main Authors: Feng, Xiaobing, Su, Rong, Liu, Mingyu, Leach, Richard K.
Format: Conference or Workshop Item
Published: 2017
Online Access:https://eprints.nottingham.ac.uk/42298/
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author Feng, Xiaobing
Su, Rong
Liu, Mingyu
Leach, Richard K.
author_facet Feng, Xiaobing
Su, Rong
Liu, Mingyu
Leach, Richard K.
author_sort Feng, Xiaobing
building Nottingham Research Data Repository
collection Online Access
description Traditional defect inspection for highly-parallel manufacturing processes requires the processing of large measurement datasets, which is often not fast enough for in-situ inspection of large areas with high resolution. This study develops an all-optical difference engine for fast defect detection in highly-parallel manufacturing processes, where the detection of defects (differences from nominal) is performed optically and in real-time. Identification of defects is achieved through an optical Fourier transform and spatial filtering, detecting differences between two real objects by nulling information that is repeated in each object. The developed prototype device is demonstrated using geometric patterns of similar scale to components in printed electronic circuits
first_indexed 2025-11-14T19:48:16Z
format Conference or Workshop Item
id nottingham-42298
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T19:48:16Z
publishDate 2017
recordtype eprints
repository_type Digital Repository
spelling nottingham-422982020-05-04T18:37:42Z https://eprints.nottingham.ac.uk/42298/ Optical difference engine for defect inspection in highly-parallel manufacturing processes Feng, Xiaobing Su, Rong Liu, Mingyu Leach, Richard K. Traditional defect inspection for highly-parallel manufacturing processes requires the processing of large measurement datasets, which is often not fast enough for in-situ inspection of large areas with high resolution. This study develops an all-optical difference engine for fast defect detection in highly-parallel manufacturing processes, where the detection of defects (differences from nominal) is performed optically and in real-time. Identification of defects is achieved through an optical Fourier transform and spatial filtering, detecting differences between two real objects by nulling information that is repeated in each object. The developed prototype device is demonstrated using geometric patterns of similar scale to components in printed electronic circuits 2017-03-15 Conference or Workshop Item PeerReviewed Feng, Xiaobing, Su, Rong, Liu, Mingyu and Leach, Richard K. (2017) Optical difference engine for defect inspection in highly-parallel manufacturing processes. In: 12th International Conference and Exhibition on Laser Metrology, Coordinate Measuring Machine and Machine Tool Performance, (LAMDAMAP 2017), 15-16 March, 2017, Renishaw Innovation Centre, Wotton-under-Edge , United Kingdom.
spellingShingle Feng, Xiaobing
Su, Rong
Liu, Mingyu
Leach, Richard K.
Optical difference engine for defect inspection in highly-parallel manufacturing processes
title Optical difference engine for defect inspection in highly-parallel manufacturing processes
title_full Optical difference engine for defect inspection in highly-parallel manufacturing processes
title_fullStr Optical difference engine for defect inspection in highly-parallel manufacturing processes
title_full_unstemmed Optical difference engine for defect inspection in highly-parallel manufacturing processes
title_short Optical difference engine for defect inspection in highly-parallel manufacturing processes
title_sort optical difference engine for defect inspection in highly-parallel manufacturing processes
url https://eprints.nottingham.ac.uk/42298/