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:
Nov. 25, 2025

Filed:

Dec. 05, 2023
Applicant:

Tongji University, Shanghai, CN;

Inventors:

Pinjing He, Shanghai, CN;

Zhan Yang, Shanghai, CN;

Hua Zhang, Shanghai, CN;

Fan Lyu, Shanghai, CN;

Wei Peng, Shanghai, CN;

Assignee:

TONGJI UNIVERSITY, Shanghai, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 21/94 (2006.01); G01N 1/28 (2006.01); G01N 1/42 (2006.01); G01N 21/17 (2006.01); G01N 21/27 (2006.01); G01N 21/88 (2006.01); G01N 33/44 (2006.01); G06V 10/80 (2022.01);
U.S. Cl.
CPC ...
G01N 21/94 (2013.01); G01N 1/42 (2013.01); G01N 21/27 (2013.01); G01N 33/442 (2013.01); G06V 10/80 (2022.01); G01N 1/2813 (2013.01); G01N 2021/1765 (2013.01); G01N 2021/8874 (2013.01); G01N 2021/8887 (2013.01); G01N 2021/945 (2013.01);
Abstract

The present invention relates to a macro plastic and micro plastic detection method based on RGB and hyperspectral image fusion, which includes the following steps: obtaining macro plastics and micro plastics; mixing with solid wastes to obtain a solid-phase substrate; pretreating the obtained solid-phase substrate to obtain a material; drying to remove part of moisture and coating on a quartz window sheet, drying until the moisture is completely removed, and flattening by using another quartz window sheet to obtain a material to be detected; obtaining an RGB image and a hyperspectral image of the material to be detected respectively by using a high-resolution color image scanner and a hyperspectral camera; fusing the obtained RGB image and hyperspectral image; and automatically classifying and identifying the macro plastics and the micro plastics by using a supervised classification model.


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