Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Elevator safety early warning method based on machine learning

A security early warning and machine learning technology, applied in instruments, elevators, computer parts, etc., can solve the problems of defocusing, blurring, noise and low resolution, and achieve the effect of improving real-time performance, improving recognition rate and reducing workload

Inactive Publication Date: 2018-07-13
柯 钢 +1
View PDF5 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to provide an elevator safety early warning method based on machine learning, which aims to solve the current problems of defocus blur, noise and low resolution

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Elevator safety early warning method based on machine learning
  • Elevator safety early warning method based on machine learning
  • Elevator safety early warning method based on machine learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0071] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0072] The application principle of the present invention will be further described below in conjunction with the accompanying drawings.

[0073] The elevator safety warning method based on machine learning provided by the embodiment of the present invention is:

[0074] Using methods such as automatic motion matching, noise interference processing, and super-resolution, the effective information is fused and processed, and relevant features are extracted for dynamic capture and early warning.

[0075] Such as figure 1 As shown, the automatic motion matching method provided by the embodiment of the present invention inclu...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an elevator safety early warning method based on machine learning. Automatic motion matching, noise interference processing, the super resolution and other methods are adopted,effective information is subjected to fusion processing, and related features are extracted to conduct dynamic capturing and early warning. According to the elevator safety early warning method, thevideo information is dynamically captured to be correlated to an automatic early warning mechanism, so that a security check person is reminded of appearance of targets so as to take measures in time;and meanwhile, videos of related information are automatically extracted so that maintaining personnel can conduct series and incorporate case analysis and video comparison analysis treatment, and valuable clues and the like are found.

Description

technical field [0001] The invention belongs to the technical field of image data processing, and in particular relates to an elevator safety early warning method based on machine learning. Background technique [0002] Recently, elevator accidents have occurred frequently. In just two days, there have been many elevator safety accidents. Yichang, Shenzhen, Xi'an, the same tragedy was staged in different places, and the bloody lessons made the elevator safety hazards once again arouse widespread concern. Taking the elevator many times a day has been integrated into our daily life, but who would have expected that such an ordinary thing as taking the elevator will also have many dangers. Among the many elevator safety accidents, because the elevator car has not arrived yet, the elevator hall door is opened, and the people who take the elevator step on the air and fall to their deaths. The accidents are the most. Elevator doors are divided into car doors and hall doors. The ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): B66B5/02G06K9/00G06K9/46
CPCB66B5/0031B66B5/02G06V20/52G06V10/462
Inventor 柯钢
Owner 柯 钢
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com