Construction site safety helmet identification method and system

A technology for construction sites and identification methods, applied in the field of deep learning, can solve problems such as the unsatisfactory effect of helmet identification, and achieve the effects of improving detection effect, improving recognition effect, and good algorithm robustness

Pending Publication Date: 2022-01-28
YICHANG WTAU ELECTRONICS EQUIP
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Aiming at the deficiencies in the prior art, the present invention provides a construction site helmet identificat

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  • Construction site safety helmet identification method and system
  • Construction site safety helmet identification method and system
  • Construction site safety helmet identification method and system

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[0055] In order to make the objects, technical solutions and beneficial effects of the present invention, the technical solutions in the present invention will be further described below with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are intended to explain the present invention and is not intended to limit the invention.

[0056] See figure 1 In one aspect, the present invention provides a construction site safety cap recognition method, including:

[0057] Get real-time capture image information, and the image information is enhanced;

[0058] The trunk feature extraction network extracts the characteristics of the image information for training learning models;

[0059] Channel pruning technology is used for the learning model;

[0060] Multi-scale feature fusion of different scales of characteristics fusion neck network, optimize the learning model;

[0061] Prediction is made based on the output of...

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Abstract

The invention provides a construction site safety helmet identification method and system. The method comprises the steps of: obtaining image information collected in real time, and carrying out scene enhancement on the image information; enabling a trunk feature extraction network to extract features of the image information for training a learning model; using a channel pruning technology to the learning model; performing multi-scale feature fusion on feature fusion neck networks of different scales, and optimizing the learning model; and performing prediction according to an output result of the learning model. According to the method of the invention, scene enhancement is carried out on image information in a data set, the trunk feature extraction network carries out feature extraction on the image information, the learning model is trained, channel pruning is carried out on the learning model, and features of different scales are fused, so that the learning model is optimized; and whether a safety helmet is worn in an image is predicted according to the learning model, so that rapid identification of the safety helmet is realized.

Description

technical field [0001] The invention relates to the field of deep learning technology, in particular to a construction site safety helmet identification method and system. Background technique [0002] As a personal head protection product, the safety helmet can effectively prevent and reduce the injury to the human head when the operator encounters falling objects or self-falling during production operations. It is a necessary safety measure for construction workers on road construction sites to wear safety helmets, which can protect the personal safety of construction workers to a certain extent. It is of great significance to detect and count people wearing helmets of various colors at road construction sites. Through the statistics of construction personnel wearing safety helmets of different colors entering and leaving the construction site, it is convenient to realize the reasonable allocation of resources and effectively manage personnel; it can also issue timely ala...

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Application Information

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IPC IPC(8): G06V20/40G06V10/774G06V10/80G06V10/762G06K9/62G06N3/04G06N3/08
CPCG06N3/082G06N3/045G06F18/23213G06F18/214G06F18/253
Inventor 高钰敏刘艳孙翠翠郭丽丽聂道静瞿朋严书桃沈毅祥代宗刘瑞
Owner YICHANG WTAU ELECTRONICS EQUIP
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