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. 18, 2023

Filed:

Mar. 06, 2018
Applicant:

Omron Corporation, Kyoto, JP;

Inventors:

Yosuke Naruse, Kyoto, JP;

Masashi Kurita, Kizugawa, JP;

Assignee:

OMRON Corporation, Kyoto, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/141 (2022.01); G01N 21/88 (2006.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06T 7/00 (2017.01); G01N 21/84 (2006.01);
U.S. Cl.
CPC ...
G06V 10/141 (2022.01); G01N 21/8806 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 7/001 (2013.01); G01N 2021/845 (2013.01); G01N 2021/8887 (2013.01); G01N 2201/1296 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30108 (2013.01);
Abstract

The present disclosure relates to a method, device, system and computer-program product for setting a lighting condition when an object is checked and a storage medium. The method includes that: the object is lighted by light sources capable of changing lighting parameters, and the object is captured by an image sensor in such lighting parameters to obtain captured images, wherein the object has known label data; and a part of or all of the captured images and the corresponding label data of the object are applied to learning of a machine learning model, and the lighting condition and the check algorithm parameters of the machine learning model is set simultaneously by optimizing both the lighting parameters and the check algorithm parameters, on the basis of a comparison result between an estimation result of the machine learning model and the label data. Therefore, operations are simplified.


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