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Construction worker identity recognition and safety helmet wearing detection method and system

A construction worker and identity recognition technology, applied in character and pattern recognition, still image data retrieval, instruments, etc., can solve problems such as negligence of duty, high mobility of construction workers, and inability to confirm identity, and achieve a strong robust effect

Pending Publication Date: 2020-08-28
THE SECOND CONSTR ENG CO LTD OF CHINA CONSTR THIRD ENG BUREAU
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The identity confirmation and helmet inspection of personnel entering the construction site mainly depend on the manpower inspection on site. Construction workers are highly mobile, and manpower inspection cannot confirm the identity of each person entering the construction site. The inspection of construction workers' helmets is often also negligent

Method used

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  • Construction worker identity recognition and safety helmet wearing detection method and system
  • Construction worker identity recognition and safety helmet wearing detection method and system
  • Construction worker identity recognition and safety helmet wearing detection method and system

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Embodiment Construction

[0036] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments.

[0037] Such as figure 1 As shown, the construction worker identification and safety helmet wearing detection method described in this embodiment includes:

[0038] Include the following steps:

[0039] Download the public data set SHWD, and collect the identity information of construction workers and images of workers for real-name entrance monitoring;

[0040] Add tags to the images in the public data set SHWD, and save the collected images under the name of the worker's identity information, and perform normalization processing;

[0041] Build ...

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Abstract

The invention relates to a construction worker identity recognition and safety helmet wearing detection method and system. The method comprises the following steps: collecting construction worker identity information and a worker image monitored by a real-name system entrance; adding a label to an image in the common data set SHWD, and performing normalization processing; establishing a system architecture based on the YOLO V3 and the Lightcn-29 neural network algorithm; training YOLO v3 on the public data set SHWD, inputting the marked images, and detecting a safety helmet and a human face part; the LightCNN-29 is trained; testing the recognition precision and recall rate in various construction environments, and correcting the recognition precision and recall rate; and the corrected neural network model is utilized to carry out identity verification on the personnel entering the construction site, and safety helmet detection is carried out on the personnel entering the construction site. By means of the deep learning algorithm, identity verification is conducted on personnel entering the construction site, safety helmet detection is conducted on personnel entering the construction site, personnel not belonging to the project and personnel not wearing safety helmets are prevented from entering the construction site, and the safety management capacity of the construction site is effectively improved.

Description

technical field [0001] The invention relates to the field of computer AI technology, in particular to a construction worker identity recognition and safety helmet wearing detection method. Background technique [0002] Safety has been a concern in the construction industry for decades. Occupational injuries in the construction field mainly come from unsafe behaviors, unsafe environments and unsafe mechanical tools, among which unsafe environments and behaviors are considered to be the main causes of construction accidents. At present, the inspection of unsafe behaviors and environments in the construction field mainly relies on human inspection on the construction site. Due to the heavy construction tasks, the human resources that can be allocated to safety inspection are limited. With the development of computer and information technology, more and more intelligent monitoring and detection technologies are applied to safety detection in the construction field. [0003] On...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06F16/55G07C9/37G06N3/04
CPCG06F16/55G07C9/37G06V40/168G06N3/045G06F18/214
Inventor 孙新亚储瑞兵陈双贵余曦周文武舒彬宋小丽陈亮熊浩涵胡锦东葛玲姜兴
Owner THE SECOND CONSTR ENG CO LTD OF CHINA CONSTR THIRD ENG BUREAU
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