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:
Apr. 08, 2025

Filed:

May. 18, 2022
Applicant:

Inha University Research and Business Foundation, Incheon, KR;

Inventor:

Geun Sik Jo, Incheon, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 13/80 (2011.01); G06T 11/60 (2006.01); G06V 10/74 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01); G06V 20/62 (2022.01); G11B 27/031 (2006.01);
U.S. Cl.
CPC ...
G06T 13/80 (2013.01); G06T 11/60 (2013.01); G06V 10/74 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01); G06V 20/63 (2022.01); G11B 27/031 (2013.01);
Abstract

Disclosed are a method and apparatus for converting 3D manuals into 2D interactive videos for a cloud service. The method for converting 3D manuals into 2D interactive videos for a cloud service, proposed in the present disclosure, includes the steps of performing labeling for annotations in a 3D manual for a cloud service and machine learning for recognizing the annotations; automatically recognizing the annotations, fine-adjusting automatically unrecognized annotations, and generating a file for converting the 3D manual into a 2D interactive video; linking the 3D manual to a corresponding 2D manual using the file; extracting and handling artificial intelligence knowledge based on work instructions in the 2D manual; and performing neural network tasks and linguistic inferences for processing voice requests, and informing the user about the handling and completion of a requested task by sending visual and audio feedback, in order to execute commands based on the artificial intelligence knowledge, the digital twin, and the annotations in the 3D manual.


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