Mask detection and deployment system and method based on image recognition

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 ...

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 detected on the face is prone to misjudgment, such as side face, hand or other Objects covering the face will be identified as wearing a mask; 3) Due to the difference in human skin color and when using an object with a similar color to the mask to cover the face, the method of counting the color features of the face area will also be misjudged. , these problems will lead to false detection and missed detection

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