Mask wearing identification method

A recognition method and mask technology, applied in the field of target detection, can solve the problem of inability to identify the correct wearing of masks, etc., and achieve the effects of fast detection speed, fast positioning speed, and reduction of false detections.

Active Publication Date: 2022-03-11
YANSHAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing mask detection methods are generally unable to distinguish whether the mask is worn correctly or is covered by hands or clothing, so a new method is needed to accurately distinguish between wearing a mask correctly and being blocked

Method used

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Embodiment Construction

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0039] It should be noted that, unless otherwise specified, the technical terms or scientific terms used in this application shall have the usual meanings understood by those skilled in the art to which the present invention belongs.

[0040] The mask wearing recognition method and detection device proposed by the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0041] figure 1 The overall process of mask wearing recognition in the present invention mainly includes two parts: face area...

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Abstract

The invention discloses a mask wearing recognition method, which includes: training a face detection model and training a mask wearing recognition model. The face detection model training process includes: building a face detection network based on MTCNN, and training to obtain a robust A face detection model with high reliability, realizes the prediction of the face area and facial key point position in the spectral image, and narrows the detection range of the mask wearing model. The mask recognition model training process includes: marking the sample ROI on the face spectrum image, obtaining the sample coordinate information and category information through the sample ROI file, and constructing a data set; by training the SVM classifier, the model parameters are obtained, which are used in the face image. recognition. This method can realize automatic non-contact mask wearing detection, fast positioning and detection speed of the face, and can accurately distinguish between using clothing to cover the mouth and nose and wearing a mask correctly, greatly reducing false detections caused by clothing covering, and accurate The rate is high.

Description

technical field [0001] The invention relates to a mask wearing recognition method, which belongs to the field of target detection. Background technique [0002] In crowded places such as hospitals and public transportation, staff need to check whether pedestrians wear masks one by one, and the workload is quite heavy. Existing mask detection methods generally cannot distinguish whether the mask is worn correctly or is covered by hands or clothing. Therefore, a new method is needed to accurately distinguish between wearing a mask correctly and being blocked. Contents of the invention [0003] The purpose of the present invention is to provide a mask wearing identification method, improve the sorting speed and sorting accuracy of various and irregular complex parts on the production line, improve the sorting efficiency, and thereby increase productivity. [0004] A mask wearing identification method, the method comprises the following steps: [0005] S1. Carry out face det...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V40/16G06V10/25G06V10/764G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/166G06V40/171G06V40/172G06V10/25G06N3/045G06F18/2411
Inventor 张立国孙胜春金梅张少阔张子豪张勇刘博郎梦园
Owner YANSHAN UNIV
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