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Mask recognition method and device based on improved convolutional neural network

A convolutional neural network and recognition method technology, applied in the field of object detection and recognition, can solve the problems of complex model parameters, excessive calculation, and low recognition efficiency, so as to improve calculation efficiency, make up for low power, and reduce model volume Effect

Active Publication Date: 2020-11-24
SHANDONG INSPUR SCI RES INST CO LTD
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Problems solved by technology

[0005] The embodiment of the present application provides a mask recognition method and device based on an improved convolutional neural network, which is used to solve the problems that the existing convolutional neural network model parameters are relatively complex, the amount of calculation is too large, the recognition efficiency is low, and the real-time performance is poor

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  • Mask recognition method and device based on improved convolutional neural network
  • Mask recognition method and device based on improved convolutional neural network
  • Mask recognition method and device based on improved convolutional neural network

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Embodiment Construction

[0029] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in conjunction with specific embodiments of the present application and corresponding drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0030] figure 1 The flow chart of the mask recognition method based on the improved convolutional neural network provided by the embodiment of the present application specifically includes the following steps:

[0031] S101: Collect an image to be tested.

[0032] In the embodiment of the present application, the server may collect images to be test...

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Abstract

The invention discloses a mask recognition method and device based on an improved convolutional neural network, and is used for solving the problems that an existing convolutional neural network modelis relatively complex in parameter, too large in calculated amount, relatively low in recognition efficiency and poor in real-time performance. The method comprises the steps of acquiring a to-be-detected image; according to the improved MobileNet model, image features of the image to be detected are extracted based on channel convolution; and detecting and identifying the mask in the image to bedetected according to the CenterNet architecture and the image features. According to the method, the parameter quantity and calculation quantity of the model can be reduced, the size of the model isreduced, the calculation efficiency is improved, the detection instantaneity is improved and the time delay is reduced while the detection precision of the model is reserved as much as possible.

Description

technical field [0001] The present application relates to the technical field of object detection and recognition, in particular to a mask recognition method and device based on an improved convolutional neural network. Background technique [0002] Infectious disease is a disease that can be transmitted from person to person, and from person to animal through air, contact, and body fluids. During the epidemic of infectious diseases, the transmission of viruses can be blocked to a certain extent by wearing masks. Therefore, during the epidemic of infectious diseases, the public is usually required to wear masks and the wearing of masks is tested. [0003] At present, most neural network-based object detection and recognition methods usually mark the target on the image to be tested in the form of an axisymmetric frame, and the target detector exhaustively exhausts the potential target positions, and then conducts all potential target positions. Classification to get the co...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V40/161G06V40/168G06N3/045G06F18/214
Inventor 尹青山李锐金长新
Owner SHANDONG INSPUR SCI RES INST CO LTD
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