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. 21, 2025

Filed:

Feb. 17, 2023
Applicant:

Shenzhen University, Guangdong, CN;

Inventors:

Yingying Zhu, Guangdong, CN;

Junqi Zhao, Guangdong, CN;

Assignee:

SHENZHEN UNIVERSITY, Shenzhen, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 20/52 (2022.01); G06T 5/20 (2006.01); G06T 5/50 (2006.01); G06T 7/11 (2017.01); G06T 7/174 (2017.01); G06T 7/90 (2017.01); G06V 10/26 (2022.01); G06V 10/56 (2022.01); G06V 10/77 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01);
U.S. Cl.
CPC ...
G06V 20/52 (2022.01); G06T 5/20 (2013.01); G06T 5/50 (2013.01); G06T 7/174 (2017.01); G06V 10/26 (2022.01); G06V 10/7715 (2022.01); G06V 10/774 (2022.01); G06V 20/41 (2022.01); G06T 2207/10016 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20224 (2013.01);
Abstract

The present application relates to a smoke detection method based on deep learning, a device and a storage medium. The method includes the following steps: performing image enhancement processing and color transfer processing on a smoke image to obtain a color transferred smoke image; superimposing the color transferred smoke image on an indoor image to obtain an initial image, and performing screening processing, detection frame updating processing, feature extraction and layer calibration processing on the initial image to obtain a smoke calibrated feature image; performing segmentation processing, detection frame prediction processing, detection frame classification processing and image classification processing on the smoke calibrated feature image in sequence to obtain a smoke image set; and screening the smoke image set to obtain a target smoke image, and outputting a smoke detection result. The present disclosure realizes the collection of smoke data sets and improves the detection accuracy of smoke.


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