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Kindergarten morning check method and device

A kindergarten and morning inspection technology, applied in neural learning methods, instruments, biological neural network models, etc., can solve the problems of low fault tolerance rate, long morning inspection time, prone to missed inspections, wrong inspections, etc., to ensure accuracy. Effect

Pending Publication Date: 2019-07-12
中易智能科技(南京)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the situation that the existing kindergarten morning inspection takes a long time and is prone to missing and wrong inspections, the present invention provides a high-efficiency, low-fault-tolerant morning inspection method for kindergartens

Method used

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  • Kindergarten morning check method and device
  • Kindergarten morning check method and device

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Embodiment Construction

[0021] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings. It should be noted here that the descriptions of these embodiments are used to help understand the present invention, but are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below may be combined with each other as long as they do not constitute a conflict with each other.

[0022] Such as figure 1 As shown, the present invention provides a kind of kindergarten morning inspection method, comprises the following steps:

[0023] S1: Create a neuron model, establish a neuron model through the pytorch computing learning framework, and use the torch.utils.data.Dataset data interface in pytorch to realize the training data set and test data set;

[0024] S2: Train the neuron model, and collect a large number of pictures of herpes, hand, foot, mo...

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Abstract

The invention discloses a kindergarten morning check method which comprises the following steps: firstly, creating a neuron model, and then training the neuron model through a large number of herpes,hand-foot-mouth disease, angina and pinkeye pictures; collecting image information of the hands and the oral cavity of the to-be-detected person through an image collection unit; inputting the image information acquired by the image acquisition unit into a neuron model for detection, and finally outputting a result. According to the method, the mouth, the hands and the face of the infant are shotthrough the camera and are then discriminated and calculated through trained neurons. The whole detection process is fast, a computer system does not feel tired, and the accuracy can be guaranteed aslong as early-stage neurons are trained. In addition, the invention also discloses a kindergarten morning check device which comprises an image acquisition unit, an image processing module, a neuron model module and an output module.

Description

technical field [0001] The invention relates to the field of morning checkups in kindergartens, in particular to a method and device for morning checkups in kindergartens. Background technique [0002] Kindergarten morning inspection means that every morning, the health workers of the kindergarten conduct health and medical examinations on each child who enters the kindergarten. The main inspection items include herpes, hand, foot and mouth, pharyngitis, pink eye, etc. The existing inspection methods are not professional enough, not every day A health worker has the professional skills of a doctor. In addition, according to the survey, there are an average of 260 students in each kindergarten. Each person measures body temperature, checks hands, mouth, and eyes for at least 5-8 seconds, so a kindergarten inspection takes 40 minutes. . The per capita time is long, the workload is heavy, the time is concentrated, and the health care doctors are prone to fatigue, so there may ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/06G06N3/08G16H30/00G16H70/00
CPCG16H30/00G16H70/00G06N3/061G06N3/08G06V40/161
Inventor 季辉
Owner 中易智能科技(南京)有限公司
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