Helmet wearing and smoking behavior recognition method based on deep learning

A technology of deep learning and recognition methods, which is applied in the field of computer vision and can solve problems such as difficult to achieve real-time recognition requirements.

Active Publication Date: 2020-06-12
成都鼎安华智慧物联网股份有限公司
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

At present, the common classification networks, such as VGG, Resnet, etc. are difficult to meet the requirements of real-time r...

Method used

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  • Helmet wearing and smoking behavior recognition method based on deep learning
  • Helmet wearing and smoking behavior recognition method based on deep learning

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Embodiment Construction

[0032] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the following in conjunction with the accompanying drawings and embodiments, for

[0033] The present invention is described in further detail. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0034] see figure 1 and figure 2 , The deep learning-based helmet wearing and smoking behavior recognition method of the present invention includes data calibration, training data enhancement, network construction, detection model training, and prediction.

[0035] Include the following steps:

[0036] Step 1) Obtain the safety helmet wearing and smoking behavior data collected in the past, and make manual annotations, and divide them into the training set and verification set of the detection model according to the ratio of 9:1;

[0037] Step 2) Carry out...

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Abstract

The invention provides a helmet wearing and smoking behavior recognition method based on deep learning. The method comprises the following steps: constructing a training set and a verification set; performing data amplification on the training set; constructing a head target detection network; and training and predicting the detection network. According to the helmet wearing and smoking behavior recognition method based on deep learning, the diversity of applied illumination and the complexity of the target size and form are fully considered; according to the method, the Centernet network based on Resnet18 and the classification network based on Mobientv3 are used, so that the target detection speed is ensured, and the detection accuracy is improved.

Description

technical field [0001] The invention belongs to the field of computer vision, and relates to a deep learning-based identification method for helmet wearing and smoking behavior. Background technique [0002] Safe production is a very important part of petrochemical, coal, electric power, construction and other industries. According to the "JGJ59-99 Building Construction Safety Inspection Standard", helmets must be worn when entering the construction site. In larger cases, the personnel in the work area are identified by developing a hard hat recognition algorithm. If it is detected that a person is not wearing a hard hat, an alarm will be issued immediately to improve the management and control efficiency of the work area and ensure the safety of the workers. Finally, it will be applied to Practical smart site and smart factory projects. At the same time, in construction sites, coal mines and oil fields, etc., because of the storage of thermal insulation materials and flamm...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/10G06N3/045G06F18/214G06F18/2415
Inventor 庄永忠廖长明徐燕生
Owner 成都鼎安华智慧物联网股份有限公司
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