TY - JOUR
T1 - Vision-inspection-synchronized dual optical coherence tomography for high-resolution real-time multidimensional defect tracking in optical thin film industry
AU - Jeon, Deokmin
AU - Jung, Unsang
AU - Park, Kibeom
AU - Kim, Pilun
AU - Han, Sangyeob
AU - Jeong, Hyosang
AU - Wijesinghe, Ruchire Eranga
AU - Ravichandran, Naresh Kumar
AU - Lee, Jaeyul
AU - Han, Youngmin
AU - Jeon, Mansik
AU - Kim, Jeehyun
N1 - Publisher Copyright:
© 2020 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.
PY - 2020
Y1 - 2020
N2 - Large-scale product inspection is an important aspect in thinfilm industry to identify defects with a high precision. Although vision line scan camera (VLSC)-based inspection has been frequently implemented, it is limited to surface inspections. Therefore, to overcome the conventional drawbacks, there is a need to extend inspection capabilities to internal structures. Considering that VLSC systems have access to rich information, such as color and texture, high-resolution real-time multimodal optical synchronization between VLSC and dual spectral domain optical coherence tomography (SD-OCT) systems was developed with a laboratory customized in-built automated defect-tracking algorithm for optical thinfilms (OTFs). Distinguishable differences in the color and texture of the bezel area were precisely determined by the VLSC. Detailed OCT assessments were conducted to verify the detection of previously unobtainable border regions and micrometer-range sub-surface defects. To enhance the accuracy of the method, VLSC images were aided for the precise surface defect identification using OCT and the image acquisition, signal processing, image analysis, and classification of both techniques were simultaneously processed in real-time for industrial applicability. The results demonstrate that the proposed method is capable of detecting and enumerating total number of defects in OTF samples with exceptional resolution and in a cost-effective manner facilitating wide area inspection for OTF samples.
AB - Large-scale product inspection is an important aspect in thinfilm industry to identify defects with a high precision. Although vision line scan camera (VLSC)-based inspection has been frequently implemented, it is limited to surface inspections. Therefore, to overcome the conventional drawbacks, there is a need to extend inspection capabilities to internal structures. Considering that VLSC systems have access to rich information, such as color and texture, high-resolution real-time multimodal optical synchronization between VLSC and dual spectral domain optical coherence tomography (SD-OCT) systems was developed with a laboratory customized in-built automated defect-tracking algorithm for optical thinfilms (OTFs). Distinguishable differences in the color and texture of the bezel area were precisely determined by the VLSC. Detailed OCT assessments were conducted to verify the detection of previously unobtainable border regions and micrometer-range sub-surface defects. To enhance the accuracy of the method, VLSC images were aided for the precise surface defect identification using OCT and the image acquisition, signal processing, image analysis, and classification of both techniques were simultaneously processed in real-time for industrial applicability. The results demonstrate that the proposed method is capable of detecting and enumerating total number of defects in OTF samples with exceptional resolution and in a cost-effective manner facilitating wide area inspection for OTF samples.
KW - Automatic optical inspection
KW - Machine vision
KW - Optical coherence tomography
KW - Opticalfilms
KW - Parallel processing
UR - http://www.scopus.com/inward/record.url?scp=85102817705&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2020.3031361
DO - 10.1109/ACCESS.2020.3031361
M3 - Article
AN - SCOPUS:85102817705
SN - 2169-3536
VL - 8
SP - 190700
EP - 190709
JO - IEEE Access
JF - IEEE Access
ER -