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:
Apr. 05, 2022

Filed:

Aug. 31, 2021
Applicant:

Shenzhen Reolink Technology Co., Ltd., Shenzhen, CN;

Inventors:

Zhiqiang Xie, Shenzhen, CN;

Yulong Que, Shenzhen, CN;

Assignee:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/20 (2017.01); G06K 9/62 (2022.01); G06T 7/70 (2017.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
G06T 7/20 (2013.01); G06K 9/6215 (2013.01); G06T 7/70 (2017.01); G06T 7/97 (2017.01); G06T 2207/10016 (2013.01); G06T 2207/30232 (2013.01);
Abstract

This application discloses an object detection method, a security device, and a readable storage medium. The object detection method includes: obtaining a plurality of first frames acquired by imaging an object within a first period of time; obtaining a plurality of second frames acquired by imaging the object within a second period of time, where an end time of the first period of time is a start time of the second period of time; comparing each of the second frames with the plurality of first frames one by one to determine whether a position variation of the object between the second frame and the first frame is less than a first preset threshold; if it is determined that the position variation of the object is less than the first preset threshold, increasing a count by one (1) and obtaining a total count after comparison with the plurality of second frames is completed; determining whether the total count reaches a second preset threshold; and if the total count reaches the second preset threshold, determining that the object is stationary; or if the total count does not reach the second preset threshold, determining that the object is moving. This application improves accuracy of a detection method such as an AI detection method in detecting a state of a stationary object and reduces false alarms.


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