Mask detection and deployment system and method based on image recognition

An image recognition and deployment system technology, applied in the field of biometrics, can solve problems such as detection, false detection, and missed detection

Active Publication Date: 2020-12-15
CHENGDU UNIV OF INFORMATION TECH
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The recognition rate of the method based on face detection and face attribute analysis is not high, and its shortcomings are mainly manifested in: 1) When the face is covered by a mask, the face detection algorithm itself will not perform well
Since the face cannot be detected, subsequent mask detection cannot be performed; 2) The method of judging whether to wear a mask based on whether the mouth is det...

Method used

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  • Mask detection and deployment system and method based on image recognition
  • Mask detection and deployment system and method based on image recognition
  • Mask detection and deployment system and method based on image recognition

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Embodiment 1

[0059] Currently, surveillance cameras are installed in public places. Face recognition devices are even installed at the entrances of certain areas (such as office buildings and schools). Using image recognition and deep learning technology, by automatically analyzing whether pedestrians wear masks from these monitoring images, and automatically triggering alarm reminders, it can effectively solve the current problem of mask detection. In addition, by building a unified process of image data collection, data labeling, model training, model deployment and application integration, the full-stack development process of mask detection can be realized, and the face mask detection model can be deployed to the target platform conveniently and quickly.

[0060] like figure 1 As shown, the present invention provides a mask detection and deployment system based on image recognition, including sequentially connected data processing modules, model training modules, model reasoning modul...

Embodiment 2

[0065] like figure 2 As shown, the present invention provides a mask detection and deployment method based on image recognition, and its implementation method is as follows:

[0066] S1. Data processing: collect face images and mask images respectively, and mark the face images and mask images respectively. The implementation method is as follows:

[0067] S101. Collect face images and mask images respectively;

[0068] S102. Merge the face image and the mask image, and divide the merged image in the same proportion to obtain a face category image and a mask category image on the face;

[0069]S103. Divide the remaining face images after the same proportion segmentation into two parts, one of which is merged into the face category image as face data, and the other part is generated by using the image processing method of covering the mask on the face to wear on the face The image of the mask is merged into the category image of the face wearing a mask;

[0070] S104. Accor...

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Abstract

The invention provides a mask detection and deployment system and method based on image recognition, and belongs to the technical field of biological recognition. The system comprises a data processing module which is used for collecting a face image and a mask image, and carrying out the labeling of the face image and the mask image, a model training module used for training a face mask detectionmodel by utilizing the marked face image and mask image, a model reasoning module used for detecting the positions of the human face and the mask by using a non-maximum suppression algorithm according to the human face mask detection model, and a model deployment module used for deploying the face mask detection model according to the detection result. The method comprises complete and unified processes of image data acquisition, data labeling, model training, model deployment and application integration, and core multi-structure and multi-target detection models and automatic target platformreasoning engine deployment characteristics of the method can meet the requirements of different scenes, hardware configuration, detection precision and pedestrian flow.

Description

technical field [0001] The invention belongs to the technical field of biometrics, and in particular relates to a mask detection and deployment system and method based on image recognition. Background technique [0002] As a commonly used medical and hygiene product, masks can effectively block harmful gases, droplets and viruses from entering the wearer's mouth and nose, thereby reducing the risk of disease infection for mask wearers. Correct wearing of masks has played an important role in the prevention and control of the new crown virus epidemic and other infectious diseases, effectively reducing the number of people infected with the virus and reducing the speed and scope of the spread of the infectious virus. Therefore, deploying mask wearing detection devices and systems in public places to identify whether pedestrians are wearing masks correctly, and to provide reminders and early warnings has played an active role in epidemic prevention and control. For example, a ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/171G06V40/161G06V10/94G06V2201/07G06N3/048G06N3/045G06F18/40G06F18/214
Inventor 张朝龙许源平李婵玉许志杰黄健卢军谢攀谭海龙唐健峰
Owner CHENGDU UNIV OF INFORMATION TECH
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