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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.

Patent No.:

US 12147504 B1

PDFFull Text
Date of Patent:
Nov. 19, 2024

Filed:

Aug. 31, 2021

Systems and methods for classifying mosquitoes based on extracted masks of anatomical components from images

Applicant:

University of South Florida, Tampa, FL (US);

Inventors:

Sriram Chellappan, Tampa, FL (US);

Mona Minakshi, DeKalb, IL (US);

Pratool Bharti, DeKalb, IL (US);

Ryan M Carney, Temple Terrace, FL (US);

Assignee:

University of South Florida, Tampa, FL (US);

Attorney:

Meunier Carlin & Curfman LLC

Primary Examiner:

Feng Niu

Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06F 18/21 (2023.01); G06F 18/211 (2023.01); G06F 18/213 (2023.01); G06F 18/24 (2023.01); G06F 18/25 (2023.01); G06N 3/02 (2006.01); G06N 3/045 (2023.01); G06N 3/0464 (2023.01); G06N 3/09 (2023.01); G06N 20/20 (2019.01); G06V 10/32 (2022.01); G06V 10/422 (2022.01); G06V 10/82 (2022.01); G06V 40/10 (2022.01);
U.S. Cl.
CPC ...
G06F 18/24 (2023.01); G06F 18/211 (2023.01); G06F 18/213 (2023.01); G06F 18/217 (2023.01); G06F 18/253 (2023.01); G06F 18/254 (2023.01); G06N 3/02 (2013.01); G06N 3/045 (2023.01); G06N 3/0464 (2023.01); G06N 3/09 (2023.01); G06N 20/20 (2019.01); G06V 10/32 (2022.01); G06V 10/422 (2022.01); G06V 10/82 (2022.01); G06V 40/10 (2022.01);
Abstract

Images of an insect are subjected to at least a first convolutional neural network to develop feature maps based on anatomical pixels at corresponding image locations in the respective feature maps. The anatomical pixels correspond to a body part of the insect. A computer calculates an outer product of the first feature map and the second feature map to form an integrated feature map. Extracting fully connected layers from respective sets of integrated feature maps and applying the fully connected layers to a classification network for identifying the genus and the species of the insect.

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