The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 09, 2025

Filed:

Dec. 07, 2022
Applicant:

Semes Co., Ltd., Chungcheongnam-do, KR;

Inventors:

Ji Hoon Yoo, Gyeonggi-do, KR;

Kwang Sup Kim, Chungcheongnam-do, KR;

Jong Min Lee, Gyeonggi-do, KR;

Yeon Chul Song, Seoul, KR;

Jun Ho Oh, Gyeonggi-do, KR;

Young Ho Park, Incheon, KR;

Myeong Jun Lim, Gyeonggi-do, KR;

Assignee:

SEMES CO., LTD., Chungcheongnam-do, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06V 10/44 (2022.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); H04N 1/034 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0002 (2013.01); G06V 10/44 (2022.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); H04N 1/034 (2013.01);
Abstract

Provided are a substrate inspecting unit capable of reducing image data labeling work time through training image data set verification and semi-automatic image labeling, and at the same time, improving prediction performance by improving classification accuracy for data sets, and a substrate treating apparatus including the same. The substrate inspecting unit comprises a feature extracting module for extracting a feature from training data included in each class in response to a plurality of training data related to image data of a substrate being classified according to a predefined class, a validity evaluating module for evaluating validity of the feature, a class verifying module for verifying the predefined class, and a data reconstructing module for reconstructing the plurality of training data based on a feature determined as valid and a verified class, wherein reconstructed training data is utilized when inspecting the substrate.


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