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. 01, 2025

Filed:

Aug. 17, 2020
Applicant:

Suzhou Cleva Precision Machinery & Technology Co., Ltd., Suzhou, CN;

Inventors:

Shaoming Zhu, Suzhou, CN;

Xue Ren, Suzhou, CN;

Lichao Yuan, Suzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/00 (2024.01); A01D 34/00 (2006.01); G06T 7/11 (2017.01); A01D 101/00 (2006.01);
U.S. Cl.
CPC ...
G05D 1/0246 (2013.01); A01D 34/008 (2013.01); G05D 1/0238 (2013.01); G05D 1/0255 (2013.01); G06T 7/11 (2017.01); A01D 2101/00 (2013.01); G06T 2207/20028 (2013.01); G06T 2207/30261 (2013.01);
Abstract

A self-working system, a self-walking device () and a method for controlling same, and a computer-readable storage medium. The control method comprises: acquiring a captured image; processing the captured image to acquire a processed image; segmenting the processed image into at least one sub-region; calculating the size Aof each sub-region, respectively; counting the number of sub-regions with A>V in the processed image, and marking same as the number Nof special sub-regions, wherein V is a preset quantity threshold; if N≤1, judging that the captured image belongs to a lawn region; and if N> 1, judging that the captured image belongs to a non-complete lawn region. If it is judged that a captured image belongs to a non-complete lawn region, it can be determined that there is a large obstacle or a boundary (), etc. Whether the self-walking device () encounters an obstacle or a boundary () can be analyzed by analyzing a captured image, such that the operation is easier, and the control is more sensitive and effective.


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