Construction site safety protection detection method and system

A technology of safety protection and detection method, which is applied in the direction of neural learning method, character and pattern recognition, instrument, etc., which can solve the problems of low detection accuracy or detection rate and high probability of missed detection

Inactive Publication Date: 2020-06-02
AOTENG OPTICAL COMM SYST SHENZHEN
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There are common problems such as low detection accuracy or

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  • Construction site safety protection detection method and system
  • Construction site safety protection detection method and system
  • Construction site safety protection detection method and system

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[0031] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0032] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this application belongs. The terms used herein in the description of the application are only for the purpose of describing specific embodiments, and are not intended to limit the application.

[0033] Such as figure 1 As shown, in one embodiment, a construction site safety protection detection method is provided, which is used to detect in real time whether the staff is wearing safety protection equipment, a...

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Abstract

The invention discloses a construction site safety protection detection method and system, and the method comprises the steps: constructing a target detection network integrated with a CLAHE algorithm, and employing a training set to train and optimize the target detection network; obtaining a model weight file according to the trained and optimized target detection network; reading the model weight file into an ImageAI library fused with a non-maximum suppression algorithm; obtaining a safety protection tool detection model; obtaining monitoring video to be detected, and detecting whether a worker in each real-time monitoring image in the to-be-detected monitoring video wears a safety protection tool or not by adopting the safety protection tool detection model; if the detection result ofthe continuous M real-time monitoring images is that the worker not wearing the safety equipment exists, sending alarm information to a field administrator terminal. The safety tool wearing conditionis reliably and effectively detected, manpower and material resources for construction site supervision are reduced, the supervision timeliness is improved, and the probability of safety accidents isreduced.

Description

technical field [0001] The application belongs to the technical field of video image processing, and in particular relates to a construction site safety protection detection method and system. Background technique [0002] According to the statistical report released by the Ministry of Housing and Urban-Rural Development of the People's Republic of China, the number of accidents in the construction industry is gradually decreasing. The causes of construction safety production accidents include falls, slips, collisions, electric shocks, etc. Among them, in most of the worker deaths caused by falls, the cause of death is that the head was not protected by the standard, resulting in a severe impact on the head. Literature research has analyzed the relationship between the number of deaths on construction sites and the use of safety equipment, and the results show that 47.3% of fatal victims have not used or incorrectly used safety protective equipment (such as hard hats and saf...

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Application Information

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IPC IPC(8): G06K9/00G06K9/40G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06V40/10G06V20/52G06V10/30G06V10/507G06N3/045G06F18/241
Inventor 周云财
Owner AOTENG OPTICAL COMM SYST SHENZHEN
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