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:
Feb. 25, 2025

Filed:

Nov. 15, 2023
Applicants:

Hyundai Motor Company, Seoul, KR;

Kia Corporation, Seoul, KR;

Inha University Research and Business Foundation, Incheon, KR;

Inventors:

Tae Mun Hwang, Jeonju-si, KR;

DongHa Jeong, Uiwang-si, KR;

Byung Cheol Song, Seoul, KR;

Dong Yoon Choi, Seosan-si, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/10 (2022.01); B25B 21/00 (2006.01); B25B 23/147 (2006.01); G01C 3/02 (2006.01); G01J 5/00 (2022.01); G06F 18/21 (2023.01); G06F 18/22 (2023.01); G06F 18/24 (2023.01); G06T 3/60 (2006.01); G06T 5/40 (2006.01); G06T 7/00 (2017.01); G06V 10/24 (2022.01); G06V 10/32 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/10 (2022.01); G06V 20/20 (2022.01); G06V 20/40 (2022.01); H04N 23/54 (2023.01); H04N 23/56 (2023.01); G06K 7/14 (2006.01); G06V 10/50 (2022.01);
U.S. Cl.
CPC ...
G06V 10/17 (2022.01); B25B 21/002 (2013.01); B25B 23/147 (2013.01); G01C 3/02 (2013.01); G01J 5/00 (2013.01); G06F 18/21 (2023.01); G06F 18/22 (2023.01); G06F 18/24 (2023.01); G06T 3/60 (2013.01); G06T 5/40 (2013.01); G06T 7/0004 (2013.01); G06V 10/242 (2022.01); G06V 10/32 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/10 (2022.01); G06V 20/20 (2022.01); G06V 20/41 (2022.01); H04N 23/54 (2023.01); H04N 23/56 (2023.01); G01J 2005/0077 (2013.01); G06K 7/1413 (2013.01); G06K 7/1417 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10048 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30164 (2013.01); G06V 10/50 (2022.01);
Abstract

A control method of a fastening tool for fastening a component part includes photographing a fastening portion of the component part through a camera portion mounted on the fastening tool. The control method includes pre-processing that rotates an input image, which has been photographed by the camera portion, to match with representative model image. The control method includes estimating the fastening portion through an inference process through a convolutional neural network (CNN) algorithm-based image classification work on a video input image of a same fastening portion finished with the pre-processing work. The control method also includes setting a torque value that is matched with a recognized fastening portion when a probability value of the fastening portion in the inference process exceeds a predetermined reference ratio.


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