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Title:
ARTIFICIAL INTELLIGENCE-BASED CLASSIFICATION APPARATUS AND METHOD THEREFOR
Document Type and Number:
WIPO Patent Application WO/2023/277319
Kind Code:
A1
Abstract:
The present invention relates to an artificial intelligence-based classification apparatus and method therefor, wherein a face can be accurately recognized and classified from a face image including various types of deterioration caused by random noise, motion blur, compression artifact, uncontrolled light, and blockade, through a combination of a deep learning network, such as DCNN, and an SCRC-based classifier. Also, the present invention can obtain situation information related to an infectious disease through bio-signal measurement of a user and contact-free electronic medical examination by interview, and detailed situation information regarding the situation information to estimate weights of the situation information and detailed situation information on the basis of artificial intelligence, and quickly and accurately classify a suspected infectee by inferring an infection risk level of the user according to the estimated weights.

Inventors:
LEE SANG-WOONG (KR)
CHOI CHANG (KR)
JOO YUNSANG (KR)
Application Number:
PCT/KR2022/005571
Publication Date:
January 05, 2023
Filing Date:
April 19, 2022
Export Citation:
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Assignee:
UNIV GACHON IND ACAD COOP FOUND (KR)
International Classes:
G16H50/80; G06T5/20; G06V40/16; G16H10/20; G16H50/20; G16H50/30; G16H50/50; G16H50/70
Foreign References:
KR20160083900A2016-07-12
KR20170096298A2017-08-24
KR102199020B12021-01-06
KR102238786B12021-04-09
KR102202140B12021-01-14
Other References:
VO DUC MY; NGUYEN DUC MANH; LEE SANG-WOONG: "Deep softmax collaborative representation for robust degraded face recognition", ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE., PINERIDGE PRESS, SWANSEA., GB, vol. 97, 24 November 2020 (2020-11-24), GB , XP086377583, ISSN: 0952-1976, DOI: 10.1016/j.engappai.2020.104052
Attorney, Agent or Firm:
KIM, Kyeoun Soo (KR)
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