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:
Jul. 02, 2024

Filed:

Dec. 06, 2023
Applicant:

Zhejiang Hengyi Petrochemical Co., Ltd., Hangzhou, CN;

Inventors:

Peng Wang, Hangzhou, CN;

Xiantao Peng, Hangzhou, CN;

Mingyi Liu, Hangzhou, CN;

Dandan Wang, Hangzhou, CN;

Jun Shen, Hangzhou, CN;

Zheng Teng, Hangzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 21/65 (2006.01); G01N 21/89 (2006.01); G06T 7/00 (2017.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/80 (2022.01); G06V 20/69 (2022.01); G06V 20/70 (2022.01);
U.S. Cl.
CPC ...
G06V 20/695 (2022.01); G06T 7/0004 (2013.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 10/80 (2022.01); G06V 20/70 (2022.01); G06T 2207/10056 (2013.01); G06T 2207/20064 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30124 (2013.01);
Abstract

Provided is a dyeing effect prediction method, a training method of a dyeing effect prediction model, an electronic device, and a storage medium, relating to the field of computers, and in particular to artificial intelligence technologies, neural network model technologies and model training technologies. The dyeing effect prediction method includes decomposing Raman spectrum data of a to-be-detected yarn spindle into a plurality of sub-signal data by using a wavelet basis function; determining a feature of the to-be-detected yarn spindle according to at least a part of target sub-signal data in the plurality of sub-signal data; and predicting to obtain a first dyeing label according to the feature of the to-be-detected yarn spindle by using a dyeing effect prediction model, wherein the first dyeing label is used for representing a dyeing effect grade.


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