Title:
METHOD AND DEVICE FOR DETECTING TIRE EXTERIOR DEFECT ON BASIS OF DEEP LEARNING
Document Type and Number:
WIPO Patent Application WO/2022/131822
Kind Code:
A1
Abstract:
A method for detecting a tire exterior defect on the basis of deep learning according to the present invention comprises the steps of: collecting exterior images related to a tire; analyzing the collected exterior images by using a predefined failure detecting model, thereby detecting a failure related to the tire; and determining the type of the failure related to the tire, if a failure related to the tire is detected, by analyzing the detected failure area by using a failure classification model defined independently of the failure detecting model.
Inventors:
BAE YOU SUK (KR)
LEE JAE GEUN (KR)
KEUM GI RYUN (KR)
KIM SEONG KYU (KR)
HUR JO HOON (KR)
LEE WOO RAM (KR)
LEE JAE GEUN (KR)
KEUM GI RYUN (KR)
KIM SEONG KYU (KR)
HUR JO HOON (KR)
LEE WOO RAM (KR)
Application Number:
PCT/KR2021/019196
Publication Date:
June 23, 2022
Filing Date:
December 16, 2021
Export Citation:
Assignee:
TECH UNIV OF KOREA INDUSTRY ACADEMIC COOPERATION FOUNDATION (KR)
International Classes:
G01N21/88; G01M17/02; G06N3/08; G06N20/00
Foreign References:
| JP2019035626A | 2019-03-07 | |||
| KR102175286B1 | 2020-11-06 | |||
| KR20180052180A | 2018-05-18 | |||
| KR102168724B1 | 2020-10-22 | |||
| US20200160505A1 | 2020-05-21 |
Attorney, Agent or Firm:
DAHAI INTERNATIONAL PATENT & LAW FIRM (KR)
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