Construction site safety helmet detection system based on 5G technology

A technology for construction sites and detection systems, applied in hat products, helmet covers, helmets, etc., can solve the problems of impossible staring all-weather, waste of manpower, etc., and achieve stable operation and effective identification.

Pending Publication Date: 2022-05-13
河南奇点网络科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a construction site safety helmet detection system based on 5G technology to solve the problem that the personnel on the construction site do not wear safety helmets and need patrol personnel to stare at them all day, which is a waste of manpower.

Method used

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  • Construction site safety helmet detection system based on 5G technology

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Embodiment Construction

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention.

[0022] Embodiments of the invention:

[0023] A construction site helmet detection system based on 5G technology, mobile module, fixed module, alarm module and data processing module; the mobile module is fixedly connected to the installation cap, and the mobile module can determine whether to wear a helmet through pressure , and can collect images; the fixed module can collect images on the tower crane, and the data processing module can process the data of the mobile module and the fixed module.

[0024] The mobile module is fixedly connected with the installation cap. The mobile module includes a mobile communication module, a pressure module and a mobile camera module. The mobile camera module is used to record the surrounding environment of the helmet, and the pressure mo...

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Abstract

The invention relates to a construction site safety helmet detection system based on a 5G technology. The construction site safety helmet detection system comprises a mobile module, a fixed module, an alarm module and a data processing module, the moving module is fixedly connected with the mounting cap, and the moving module can determine whether a safety helmet is worn or not through pressure and can collect images; the fixed module can collect images on the tower crane, and the data processing module can process data of the movable module and the fixed module. Whether a worker wears a safety helmet or not can be determined through measurement of the pressure module on the mobile module, images collected by the mobile camera module and the fixed camera module are analyzed through the image analysis module, and the position of the mobile camera module is found in the fixed camera module, so that the worker corresponding to the mobile camera module is determined. The control module is used for controlling one or more alarms close to the person to play records for reminding the person of wearing the safety helmet to the area where the person is located, and an electronic detection mode is adopted, so that the labor cost of on-site monitoring is reduced.

Description

technical field [0001] The invention relates to the field of construction site safety, in particular to a construction site helmet detection system based on 5G technology. Background technique [0002] With the rapid development of artificial intelligence technology, a large number of artificial intelligence technologies have been applied to the industrialization of the world. [0003] After analyzing national production safety data in recent years, it is found that about 95% of production safety accidents are caused by unsafe behaviors of operators, such as entering the workplace beyond authority, operating in violation of regulations, not wearing labor protection products correctly, operating errors or ignoring safety warnings etc. The vast majority of artificial intelligence applications in industrialization are related to machine vision technology. Users eagerly hope to reduce human unsafe behavior through deep learning-based systems. Unsafe human behavior refers to the...

Claims

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Application Information

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IPC IPC(8): A42B3/04A42B3/30
CPCA42B3/30A42B3/0466A42B3/0406
Inventor 谌东宇邬正好李鹏崔擎刘敏忠
Owner 河南奇点网络科技有限公司
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