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:
Oct. 10, 2023

Filed:

Sep. 17, 2019
Applicant:

Nec Corporation, Tokyo, JP;

Inventors:

Yasunori Futatsugi, Tokyo, JP;

Yoshihiro Mishima, Tokyo, JP;

Atsushi Fukuzato, Tokyo, JP;

Jun Nakayamada, Tokyo, JP;

Kenji Sobata, Tokyo, JP;

Assignee:

NEC CORPORATION, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/64 (2022.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06F 18/2431 (2023.01); G06V 20/56 (2022.01);
U.S. Cl.
CPC ...
G06V 20/64 (2022.01); G06F 18/217 (2023.01); G06F 18/2148 (2023.01); G06F 18/2431 (2023.01); G06V 20/56 (2022.01);
Abstract

An object recognition systemincludes: a recognition devicethat recognizes an object in an image; and a serverthat generates a learning model. The recognition deviceincludes: a first object recognition unitthat determines a type of the object in the image using the learning model; and an image transmission unitthat transmits a type-indeterminable image, which is an image in which the type has not been determined, to the serverwhen an object included in the type-indeterminable image is an object detected as a three-dimensional object. The serverincludes: a learning devicethat generates the learning model based on training data in which a teacher label is assigned to the type-indeterminable image; and a learning model transmission unitthat transmits the generated learning model to the recognition device. The first object recognition unitdetermines the type of the object in the image using the transmitted learning model.


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