Pedestrian mask wearing real-time detection method based on deep learning

A deep learning and real-time detection technology, applied in the field of Internet of Things and artificial intelligence, can solve the problems of high delay, deep network, detection real-time performance and detection accuracy cannot be satisfied at the same time, and achieve the effect of good engineering practicability.
CN111401202AInactive Publication Date: 2020-07-10SOUTHWEST PETROLEUM UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SOUTHWEST PETROLEUM UNIV
Publication Date
2020-07-10
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention provides a pedestrian mask wearing real-time detection method based on deep learning. The pedestrian mask wearing real-time detection method comprises the following steps: S1, establishing a robust backbone network; S2, carrying out the multi-scale training; S3, performing model compression; S4, performing model optimization. According to the method provided by the invention, more labor overhead cost, and calculation cost and time overhead cost of the small hardware storage device are considered. Whether a pedestrian wears the mask or not can be judged more quickly, and good engineering practicability is achieved.
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Description

technical field

[0001] The invention belongs to the field of the Internet of Things and artificial intelligence, and specifically relates to a deep learning-based real-time detection method and implementation of pedestrian mask wearing. Background technique

[0002] Some large-scale viruses can be transmitted through droplets and other media. When effective antiviral drugs have not been developed, the wearing of masks by the public is very important in reducing the spread of diseases. Masks are necessary protective equipment in special times. There are special personnel at the door to check the wearing conditions of masks in places with large crowds such as residential areas, supermarkets, and stations. Omissions may occur. Therefore, it is of great practical significance to realize real-time detection of pedestrian mask wearing.

[0003] Real-time detection of pedestrian mask wearing involves computer vision and embedded hardware devices, requiring cameras and hardware pl...

Claims

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