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. 28, 2018

Filed:

Jul. 26, 2017
Applicant:

Otis Elevator Company, Farmington, CT (US);

Inventors:

Hui Fang, Shanghai, CN;

Zhen Jia, Shanghai, CN;

Yanzhi Chen, Shanghai, CN;

Alan Matthew Finn, Hebron, CT (US);

Arthur Hsu, South Glastonbury, CT (US);

Jianwei Zhao, Shanghai, CN;

ZhaoXia Hu, Hangzhou, CN;

Qiang Li, Shanghai, CN;

Anna Su, Shanghai, CN;

Longwen Wang, Shanghai, CN;

XuLei Guo, Shanghai, CN;

Alois Senger, Gresten, AT;

Assignee:

OTIS ELEVATOR COMPANY, Farmington, CT (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B66B 29/00 (2006.01); B66B 5/00 (2006.01); B66B 21/02 (2006.01); B66B 25/00 (2006.01); B66B 29/08 (2006.01);
U.S. Cl.
CPC ...
B66B 29/005 (2013.01); B66B 21/02 (2013.01); B66B 25/003 (2013.01); B66B 29/08 (2013.01);
Abstract

A monitoring system and a monitoring method for a passenger conveying device, and the passenger conveying device. The monitoring system comprises an imaging sensor and/or a depth sensing sensor for sensing a monitoring area of the passenger conveying device to acquire data frames; and a processing device for performing data processing on the data frames to monitor whether the monitoring area is abnormal, and configured to comprise: a background acquisition module for acquiring a background model based on data frames sensed when the monitoring area is in a normal state; a foreground detection module for comparing data frames sensed in real time with the background model to obtain a foreground object; a foreground feature extraction module for extracting a corresponding foreground object markup feature from the foreground object; and a state judgment module for judging whether the foreground object belongs to an abnormal population.


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