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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
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  • Abstract
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  • Claims
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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

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  • 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

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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...

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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 ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B66B5/02G06K9/00G06K9/46
CPCB66B5/0031B66B5/02G06V20/52G06V10/462
Inventor 柯钢
Owner 柯 钢
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