In-Line Identification of Two-Dimensional Surface Profile and Defects Using a High-Precision Automated Optical Inspection System With a Cloud-Aided Statistical Analysis System

التفاصيل البيبلوغرافية
العنوان: In-Line Identification of Two-Dimensional Surface Profile and Defects Using a High-Precision Automated Optical Inspection System With a Cloud-Aided Statistical Analysis System
المؤلفون: Wei-Hao Lu, Mark Christian E. Manuel, Po Ting Lin, Boting Rex Lin, Ming Chang
المصدر: Volume 9: 2015 ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications.
بيانات النشر: American Society of Mechanical Engineers, 2015.
سنة النشر: 2015
مصطلحات موضوعية: Automated optical inspection, Engineering, business.industry, Image processing, Visualization, Automated X-ray inspection, visual_art, Electronic component, visual_art.visual_art_medium, Electronic engineering, Computer vision, Control chart, Artificial intelligence, business, Distance transform, Image resolution
الوصف: Automated Optical Inspection (AOI) systems are expected to replace manual inspection especially for flat and flexible electronic component systems, which require high yield and high speed. A high precision AOI system calibrated for 3.5 microns per pixel resolution was previously developed for defect detection of flat glass where imperfections and defects are obtained with minimal image processing techniques. Due to the large image size, cloud based image processing cannot be performed at the moment but cloud based statistical tools and visualization are now becoming more popular. This paper extends the previous work by adding two-dimensional surface profiling and defect detection for a flexible PCB, more specifically, a digitizer for mobile devices. A non-referential inspection method was sought with the widths of deposited metal wires on the digitizer substrate measured using distance transform. The wire width information is then sent to a web server and statistically processed. Display outputs in the form of Shewhart Xbar and S process control charts are then used as basis to quantify the line information and possibly investigate possible surface defects.Copyright © 2015 by ASME
DOI: 10.1115/detc2015-46132
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::971b7e41454e757f817a8eb65ec3d2b8
https://doi.org/10.1115/detc2015-46132
رقم الانضمام: edsair.doi...........971b7e41454e757f817a8eb65ec3d2b8
قاعدة البيانات: OpenAIRE