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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 12205337 B1

PDFFull Text
Date of Patent:
Jan. 21, 2025

Filed:

Mar. 31, 2023

Image capturing apparatus capable of recognizing recognition target with high accuracy, method of controlling same, and storage medium

Applicant:

Canon Kabushiki Kaisha, Tokyo, JP;

Inventor:

Takashi Kobayashi, Tokyo, JP;

Assignee:

CANON KABUSHIKI KAISHA, Tokyo, JP;

Attorney:

Carter, DeLuca & Farrell LLP

Primary Examiner:

Nicholas G Giles

Int. Cl.
CPC ...
G06V 10/147 (2022.01); G06V 10/764 (2022.01); G06V 10/776 (2022.01); G06V 10/94 (2022.01); G06V 10/98 (2022.01); H04N 23/61 (2023.01); H04N 23/667 (2023.01); H04N 23/81 (2023.01);
U.S. Cl.
CPC ...
G06V 10/147 (2022.01); G06V 10/776 (2022.01); G06V 10/955 (2022.01); G06V 10/98 (2022.01); H04N 23/61 (2023.01); H04N 23/667 (2023.01); H04N 23/81 (2023.01); G06V 10/764 (2022.01);
Abstract

An image capturing apparatus includes an image sensor section and a signal processor for processing an image input from the image sensor section via a signal line. A control arithmetic unit switches the signal processor to a recognition mode or a learning mode. The image sensor section includes an image capturing section for generating the image, and a sensor recognition section for performing recognition processing based on the image. The signal processor includes a recognition section for performing, in the recognition mode, recognition processing by inputting the image input from the image sensor section to a learning model, and a learning section for performing, in the learning mode, machine learning of the learning model based on a recognition result obtained by the sensor recognition section and the image input from the image sensor section.

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