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:
May. 21, 2024

Filed:

Sep. 01, 2022
Applicant:

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

Inventors:

Sriram Chellappan, Tampa, FL (US);

Pratool Bharti, Tampa, FL (US);

Mona Minakshi, Tampa, FL (US);

Willie McClinton, Tampa, FL (US);

Jamshidbek Mirzakhalov, Tampa, FL (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/00 (2022.01); G06F 18/211 (2023.01); G06F 18/214 (2023.01); G06F 18/23 (2023.01); G06V 10/22 (2022.01); G06V 10/44 (2022.01); G06V 10/56 (2022.01); G06V 10/764 (2022.01); G06V 20/30 (2022.01); G06F 18/2411 (2023.01);
U.S. Cl.
CPC ...
G06V 20/00 (2022.01); G06F 18/211 (2023.01); G06F 18/2155 (2023.01); G06F 18/23 (2023.01); G06V 10/22 (2022.01); G06V 10/44 (2022.01); G06V 10/56 (2022.01); G06V 10/764 (2022.01); G06V 20/30 (2022.01); G06F 18/2411 (2023.01);
Abstract

Identifying insect species integrates image processing, feature selection, unsupervised clustering, and a support vector machine (SVM) learning algorithm for classification. Results with a total of 101 mosquito specimens spread across nine different vector carrying species demonstrate high accuracy in species identification. When implemented as a smart-phone application, the latency and energy consumption were minimal. The currently manual process of species identification and recording can be sped up, while also minimizing the ensuing cognitive workload of personnel. Citizens at large can use the system in their own homes for self-awareness and share insect identification data with public health agencies.


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