Vision-Inspection-Synchronized Dual Optical Coherence Tomography for High-Resolution Real-Time Multidimensional Defect Tracking in Optical Thin Film Industry

التفاصيل البيبلوغرافية
العنوان: Vision-Inspection-Synchronized Dual Optical Coherence Tomography for High-Resolution Real-Time Multidimensional Defect Tracking in Optical Thin Film Industry
المؤلفون: Youngmin Han, Unsang Jung, Mansik Jeon, Deokmin Jeon, Naresh Kumar Ravichandran, Kibeom Park, Ruchire Eranga Wijesinghe, Jeehyun Kim, Hyosang Jeong, Jaeyul Lee, Pilun Kim, Sangyeob Han
المصدر: IEEE Access, Vol 8, Pp 190700-190709 (2020)
بيانات النشر: IEEE, 2020.
سنة النشر: 2020
مصطلحات موضوعية: General Computer Science, parallel processing, Computer science, optical films, Feature extraction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 02 engineering and technology, 01 natural sciences, 010309 optics, Optical coherence tomography, 0103 physical sciences, medicine, General Materials Science, Defect tracking, Computer vision, Thin film, Signal processing, optical coherence tomography, medicine.diagnostic_test, Texture (cosmology), business.industry, Resolution (electron density), General Engineering, machine vision, 021001 nanoscience & nanotechnology, Identification (information), Automatic optical inspection, Artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, 0210 nano-technology, business, lcsh:TK1-9971
الوصف: Large-scale product inspection is an important aspect in thin film 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 thin films (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.
اللغة: English
تدمد: 2169-3536
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bf32c8ac6ae34d4bc5d511701d3b53d
https://ieeexplore.ieee.org/document/9224628/
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....6bf32c8ac6ae34d4bc5d511701d3b53d
قاعدة البيانات: OpenAIRE