Early warning method, device and equipment for visual identification of danger and storage medium

A technology of visual recognition and early warning device, applied in the field of image processing, can solve the problems of increasing working hours, danger of visual recognition, low efficiency, etc., and achieve the effect of preventing personnel from entering by mistake, reducing workload and improving accuracy

Pending Publication Date: 2019-08-09
中冶赛迪信息技术(重庆)有限公司
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  • Abstract
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  • Application Information

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Problems solved by technology

[0004] In view of the above-mentioned shortcomings of the prior art, the purpose of the present invention is to provide an early warning method, device, equipment and storage medium for visually identifying dangers, which are u

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  • Early warning method, device and equipment for visual identification of danger and storage medium
  • Early warning method, device and equipment for visual identification of danger and storage medium

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[0027] The following specific examples illustrate the implementation of this application. Those familiar with this technology can easily understand the other advantages and effects of this application from the content disclosed in this specification.

[0028] In the following description, referring to the drawings, the drawings describe several embodiments of the present application. It should be understood that other embodiments can also be used, and mechanical, structural, electrical, and operational changes can be made without departing from the spirit and scope of the present disclosure. The following detailed description should not be considered restrictive, And the scope of the embodiments of the present application is only limited by the claims of the published patent. The terms used here are only to describe specific embodiments, and are not intended to limit the present application. Space-related terms, such as "up", "down", "left", "right", "below", "below", "lower", "a...

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Abstract

The invention provides an early warning method, device and equipment for visually identifying dangers and a storage medium. The method comprises the following steps: defining a dangerous area in a monitoring video according to a current monitoring scene of a camera device; identifying whether a person appears in the monitoring video based on a deep learning convolutional neural network; when a person appears in the monitoring video, obtaining the position information of the person; comparing the position information of the person with the position range of the dangerous area; and if the position information is in the dangerous area, sending out early warning information about personnel invasion into the dangerous area. The intelligent visual identification technology is adopted to identifywhether people exist in monitoring or not and whether people touch the range of a dangerous area defined by the people, the designated dangerous area can be monitored for 24 hours, and safety accidents caused by mistaken entry of people are prevented; compared with traditional manual monitoring, the intelligent monitoring and judging system has the advantages that the workload of manual early warning is reduced, and the monitoring accuracy is improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an early warning method, device, equipment and storage medium for visual recognition of danger. Background technique [0002] With the popularity of security surveillance cameras, identification requirements in various scenarios have emerged, especially for the identification of personnel safety. For construction sites, factories, and other specific occasions, there are some specific "dangerous areas" that do not allow personnel to enter. It is necessary to monitor this type of area 24 hours a day through security surveillance cameras. If someone enters the area, it will be promptly reminded or issued Alarm. [0003] The existing security video surveillance methods use manual identification of a large number of surveillance videos. However, using manual surveillance videos for early warning, on the one hand, requires a large workload and requires staff to monito...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/41G06V20/52
Inventor 庞殊杨毛尚伟贾鸿盛谢小东陈正国王志伟唐海翔
Owner 中冶赛迪信息技术(重庆)有限公司
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