Labor protection article wearing condition detection and identity recognition method based on deep learning

A deep learning and identification technology, applied in the field of computer vision, can solve problems such as hidden safety hazards, no labor protection equipment detection system, workers slack wearing hard hats, protective masks, etc.

Active Publication Date: 2020-08-04
SHANXI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, most factories and construction sites do not have a labor protection equipment inspection system, causing workers to slack off wearing safety helmets and protective masks, resulting in many safety hazards

Method used

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  • Labor protection article wearing condition detection and identity recognition method based on deep learning
  • Labor protection article wearing condition detection and identity recognition method based on deep learning
  • Labor protection article wearing condition detection and identity recognition method based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0060] In this embodiment, the method for detecting and identifying the wearing condition of labor insurance products based on deep learning,

[0061] Production of labor insurance product wearing situation detection model data set, using crawler technology to crawl Internet pictures, including: hard hat pictures, protective mask pictures and other background pictures;

[0062] Face recognition model data set: use LFW, Colorferet, VGG2 and other data sets;

[0063] Pedestrian re-identification model data set: use Market 1501, MSMT17 and other data sets;

[0064] Use the LabelImg tool to pre-label images; face recognition and pedestrian re-identification use public datasets, which already have labeling information.

[0065] Data preprocessing: In order to improve the quality of the dataset, the images were preprocessed, including methods such as data augmentation and data cleaning.

[0066] Data augmentation: The dataset of the data is augmented by methods such as scale chang...

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Abstract

The invention belongs to the technical field of computer vision, and particularly relates to a labor protection article wearing condition detection and identity recognition method based on deep learning. The method comprises the following steps of collecting data to make a special data set for worker labor protection article wearing condition detection and identity recognition; preprocessing, labeling and dividing the data set; designing and training each depth model based on multiple target detection algorithm principles; carrying out model integration on a plurality of depth models by adopting a Stacking Enable method; and training a face recognition model and a pedestrian re-recognition model based on deep learning by using the public data set, constructing a face recognition and pedestrian re-recognition comparison database of a work site, performing adaptive optimization on the models in combination with the image database, and performing detection and monitoring. The safety of workers in a construction site is improved, safety accidents are reduced, good social value and commercial value are achieved, and the application prospect is wide.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a method for detecting and identifying the wearing condition of labor insurance products based on deep learning. Background technique [0002] Factory safety issues have always been a hot topic of social concern. According to the analysis of national safety production data in 2017, it was found that 95% of production safety accidents were caused by unsafe behaviors of workers, and labor protection supplies are an important part of ensuring employee safety. . With the development of mechanization technology, some industries related to crushing, casting, and grinding have a high dust concentration in the working environment, which leads to frequent and mass outbreaks of pneumoconiosis. The human brain is the most important part of the human body. The helmet can withstand and disperse the impact of falling objects and reduce the damage to the head of the staff. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08G06F16/951
CPCG06N3/08G06F16/951G06V40/168G06V40/172G06V10/95G06N3/047G06N3/045G06F18/23G06F18/24137G06F18/2415
Inventor 梁宇栋宁艺雄宫彦谢瑾豪张超李德玉
Owner SHANXI UNIV
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