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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.

Patent No.:

US 12618707 B1

PDFFull Text
Date of Patent:
May. 05, 2026

Filed:

Nov. 08, 2021

Method for determining abnormal acoustic source and ai acoustic image camera

Applicant:

Sm Instruments CO Ltd, Daejeon, KR;

Inventors:

Young-Key Kim, Daejeon, KR;

In-Keon Kim, Daejeon, KR;

Wook-Jin Jeong, Daejeon, KR;

Jung-Seop Kim, Daejeon, KR;

Assignee:

SM INSTRUMENTS CO LTD, Daejeon, KR;

Attorney:

WHDA, LLP

Primary Examiner:

Lisa M Caputo

Assistant Examiner:

Christian T Bryant

Int. Cl.
CPC ...
G01H 3/12 (2006.01); G06F 18/24 (2023.01); G06F 18/25 (2023.01); G06N 20/00 (2019.01); G06V 10/12 (2022.01); G06V 10/143 (2022.01); G06V 10/40 (2022.01); G06V 10/42 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/52 (2022.01); G08B 21/18 (2006.01); G10L 25/18 (2013.01); G10L 25/51 (2013.01); H04N 5/272 (2006.01); H04R 1/24 (2006.01); H04R 1/40 (2006.01);
U.S. Cl.
CPC ...
G01H 3/125 (2013.01); G06V 10/12 (2022.01); G06V 10/40 (2022.01); G06V 10/764 (2022.01); G06V 20/52 (2022.01); G08B 21/18 (2013.01); H04N 5/272 (2013.01); G06F 18/24 (2023.01); G06F 18/25 (2023.01); G06N 20/00 (2019.01); G06V 10/143 (2022.01); G06V 10/431 (2022.01); G06V 10/82 (2022.01); G06V 2201/06 (2022.01); G10L 25/18 (2013.01); G10L 25/51 (2013.01); H04R 1/24 (2013.01); H04R 1/40 (2013.01);
Abstract

Disclosed is an AI acoustic camera including an acoustic source localizing means unit of generating position-specific acoustic level data by determining a position of an acoustic source, an AI acoustic analysis unit of recognizing a type of acoustic source estimated as an abnormal acoustic source by extracting a regeneration time domain acoustic signal for the acoustic source with the determined position and AI-learning and recognizing an acoustic feature image of the extracted time domain acoustic signal, an object recognition unit of recognizing a type of object positioned in the acoustic source through image analysis of an area recognized as that the acoustic source is positioned, and a determination unit of determining the acoustic source as a true acoustic source when the type of acoustic source and the type of object have commonality.

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