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Campus library epidemic situation prevention and control method based on YOLO v4

A library and epidemic technology, applied in neural learning methods, biological neural network models, epidemic warning systems, etc., can solve problems such as time-consuming and laborious, achieve good real-time and accuracy, improve target detection performance, and strengthen epidemic prevention. control effect

Pending Publication Date: 2022-01-28
FUZHOU UNIV
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Problems solved by technology

However, the traditional method of limiting the number of seats requires repeated patrols by volunteers or staff, which is time-consuming and laborious, and cannot well meet the needs of epidemic prevention and control

Method used

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  • Campus library epidemic situation prevention and control method based on YOLO v4
  • Campus library epidemic situation prevention and control method based on YOLO v4
  • Campus library epidemic situation prevention and control method based on YOLO v4

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Embodiment Construction

[0029] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0030] A kind of campus library epidemic prevention and control method based on YOLO v4 of the present invention comprises the following steps:

[0031] Step S1. Obtain the scene image from the monitoring video of the monitoring area by the camera in the library, detect the students and tables in the image according to the deep learning target detection algorithm framework YOLO V4 model, and use a rectangular frame to identify and output;

[0032] Step S2, using the LK clustering algorithm to obtain the 9 anchor frames required by YOLO V4;

[0033] Step S3, using the KDTree algorithm to calculate the shortest Euclidean distance from each student to the corresponding rectangular frames of all tables every ten seconds;

[0034] Step S4. Determine whether the distance is less than the threshold. If it is less than the threshold, add one to ...

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Abstract

The invention relates to a campus library epidemic situation prevention and control method based on YOLO v4. The positions of students in a library and the position of each desk are monitored in real time by using a YOLO V4 target detection algorithm, the distance between the center point coordinates between the students and the desks is calculated every ten seconds, and whether the number of people on the desks is larger than two is judged; and meanwhile, an initial anchor frame used by the YOLO V4 is calculated by using an LK algorithm, and the shortest distance from the student to all desks is quickly retrieved by using a KDTree algorithm, so that the recognition effect and efficiency are improved. According to the method, high model precision and retrieval efficiency can be achieved, and the flexibility of campus library epidemic prevention management is well improved.

Description

technical field [0001] The invention relates to a method for epidemic prevention and control in campus libraries based on YOLO v4. Background technique [0002] When an epidemic occurs in a certain place, the place needs to take immediate action to curb the counterattack of the epidemic. Among them, the local colleges and universities also need to have corresponding countermeasures, such as staggered peak entry and exit measures, online classes, stadium flow restrictions and other measures. Among them, the library is a closed place in the school, and many students choose to study in the library. Therefore, the library The anti-epidemic measures must be improved to prevent accidents, and the limit of the number of people at the table in the library is an important part of the anti-epidemic measures. However, the traditional method of limiting the number of seats requires repeated patrols by volunteers or staff, which is time-consuming and laborious, and cannot well meet the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/40G06V20/52G06V10/22G06V10/25G06V10/762G06V10/82G16H50/80G06N3/04G06N3/08G06Q50/20G06Q50/26
CPCG06N3/08G06Q50/20G06Q50/265G16H50/80G06N3/045G06F18/23213Y02T10/40
Inventor 陈国栋赵志峰严铮林榆翔方莉陈文铿林鸿强
Owner FUZHOU UNIV
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