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A computer vision-based detection method for trapped people in elevators

A technology of computer vision and detection method, applied to elevators, lifts, transportation and packaging in buildings, etc., can solve the problems of call button damage, call alarm response not in time, etc.

Active Publication Date: 2022-08-02
成都睿瞳科技有限责任公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the uncertain factors of the elevator call alarm in the current market, the problem that the call button is destroyed and the call alarm response is not timely, and proposes a computer vision-based elevator trapped person detection method

Method used

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  • A computer vision-based detection method for trapped people in elevators
  • A computer vision-based detection method for trapped people in elevators
  • A computer vision-based detection method for trapped people in elevators

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Embodiment Construction

[0048] The embodiments of the present invention will be further described below with reference to the accompanying drawings.

[0049] like figure 1 As shown, the present invention provides a computer vision-based elevator trapped person detection method, comprising the following steps:

[0050] S1: Use the camera of the elevator car to collect the elevator scene video;

[0051] S2: determine whether the elevator door of the elevator car is closed and whether the closing time exceeds the set threshold, if so, go to step S3, otherwise return to step S1;

[0052] S3: Build a convolutional neural network model for the elevator scene video;

[0053] S4: Use the convolutional neural network model to identify the number of people in the elevator scene video, and feed back the results of the number of people in the elevator car to the monitoring center to complete the elevator trapped person detection.

[0054] In this embodiment of the present invention, as figure 1 As shown, ste...

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Abstract

The invention discloses a computer vision-based elevator trapped person detection method, comprising the following steps: S1: using the camera of the elevator car to collect elevator scene video; S2: judging whether the closing time of the elevator door of the elevator car exceeds a set threshold , if it is, go to step S3, otherwise go back to step S1; S3: build a convolutional neural network model for the elevator scene video; S4: use the convolutional neural network model to identify the number of people in the elevator scene video, and use the elevator car The number of people results Feedback to the monitoring center. The elevator trapped person detection method of the invention can timely find the trapped situation of the elevator, improve the safety of the elevator and the satisfaction of passengers, and provide a guarantee for the safety of taking the elevator. Compared with the traditional method, two models are built to effectively identify the door opening and closing of the elevator car and the number of people in the elevator, which can provide more accurate elevator information and have a better reference for maintenance personnel and monitoring centers.

Description

technical field [0001] The invention belongs to the technical field of elevator monitoring, and particularly relates to a computer vision-based elevator trapped person detection method. Background technique [0002] With the development of society, the rhythm of people's work and life is accelerating. As a tool that people must use in daily life, the elevator is also developing at a high speed. The main components of the elevator are composed of the following: traction system, guidance system, car, door system, weight balance system, electric drag system, electrical control system and safety protection system. [0003] In ordinary elevators, there will be a call for help button inside the elevator. If a passenger is trapped in the elevator, they can press the call button to alarm. The property will pass the background monitoring system in time to check the current real-time situation in the elevator to determine whether For normal calls, there are false alarms in this calli...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B66B3/00B66B5/00B66B13/00
CPCB66B3/002B66B5/0012B66B13/00
Inventor 周旭东黄剑张记复
Owner 成都睿瞳科技有限责任公司
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