Title:
MACHINE VISION-BASED QUALITY INSPECTION METHOD AND SYSTEM UTILIZING DEEP LEARNING IN MANUFACTURING PROCESS
Document Type and Number:
WIPO Patent Application WO/2019/107614
Kind Code:
A1
Abstract:
A machine vision-based quality inspection method and system utilizing deep learning in a manufacturing process are provided. A quality inspection method according to an embodiment of the present invention: generates a learning product image; enables a classifier to be learned for classifying a good product and a defective product through the generated learning product image; and determines a product as a good product or a defective product by using the learned classifier. Therefore, it is possible to find the feature value of data of a product to be classified on the basis of learning, such that it is possible to carry out the machine vision-based inspection even on an inspection area that relies on a manual inspection due to the difficult of formalizing defects.
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Inventors:
LEE SEUNG WOO (KR)
KWON YOUNG MIN (KR)
KWON YOUNG MIN (KR)
Application Number:
PCT/KR2017/013922
Publication Date:
June 06, 2019
Filing Date:
November 30, 2017
Export Citation:
Assignee:
KOREA ELECTRONICS TECHNOLOGY (KR)
International Classes:
G06T7/00; G01N21/88; G06K9/32; G06K9/62; G06T7/11
Foreign References:
| KR100786823B1 | 2007-12-20 | |||
| KR101688458B1 | 2016-12-23 | |||
| JP2005156334A | 2005-06-16 | |||
| KR20100088410A | 2010-08-09 | |||
| KR20160105082A | 2016-09-06 |
Attorney, Agent or Firm:
NAM, Choong Woo (KR)
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