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:
Aug. 06, 2024

Filed:

Jul. 28, 2023
Applicant:

Chengdu Qinchuan Iot Technology Co., Ltd., Sichuan, CN;

Inventors:

Zehua Shao, Chengdu, CN;

Yong Li, Chengdu, CN;

Yongzeng Liang, Chengdu, CN;

Xiaojun Wei, Chengdu, CN;

Zhihui Wen, Chengdu, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 21/218 (2011.01); G16Y 10/70 (2020.01); G16Y 20/40 (2020.01); H04L 67/125 (2022.01); H04N 21/258 (2011.01);
U.S. Cl.
CPC ...
H04N 21/21805 (2013.01); G16Y 10/70 (2020.01); G16Y 20/40 (2020.01); H04L 67/125 (2013.01); H04N 21/25891 (2013.01);
Abstract

The present disclosure provides a method and an Internet of Things system for managing a camera device of a public landscape in a smart city. The method is implemented based on the Internet of Things system, the system including a plurality of user platforms, a service platform, a management platform, and a plurality of object platforms. The method includes: counting, based on the service platform, a count of audience of the landscape images corresponding to the different user platforms in a preset future duration, and sending the count of the audience to the management platform, wherein the count of audience of the landscape images corresponding to the different user platforms in the future duration is determined through processing the count of the audience of the landscape images in a preset historical duration based on a third prediction model, and the third prediction model is the machine learning model; and determining, based on the management platform, a camera device to be canceled, the camera device to be canceled being a camera device corresponding to a landscape image whose the count of the audience does not satisfy a preset condition.


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