Kindergarten robot morning check system

Abstract

The invention provides a kindergarten robot morning check system which comprises a body temperature detection device, a weight detection device, a height detection device and a herpes detection system. The herpes detection system comprises a workstation, a cloud server and a robot client, wherein the robot client acquires user image data and transmits the user image data to the cloud server, the cloud server receives the image data of the robot client and distributes the image data to the workstation, the workstation conducts recognition and detection on herpes, the palms and the oral cavity with a target detection and recognition algorithm based on a deep learning neural network and feeds a recognition result back to the cloud server, and the recognition result is transmitted to the robotclient for display through the cloud server. The kindergarten robot morning check system creatively utilizes the cloud server and a deep learning neural network model to recognize herpes, the operation is simple, the detection speed is high, and the detection result is accurate.

Description

technical field [0001] The invention relates to the fields of target detection technology, image processing technology and medical detection, and in particular to a kindergarten robot morning inspection system based on a cloud server-based deep learning neural network herpes detection system. Background technique [0002] With the development of society and the progress of the times, people pay more and more attention to the safety of kindergartens and the health of children, and the management work of kindergartens will become more and more heavy. Therefore, the traditional manual management mode can no longer Effectively manage kindergarten staff and child information. Especially in the morning examination of children, most of them rely on manual work at present, which is inefficient and dependent on manual work, and it is easy to cause anxiety in young children. Especially the inspection of herpes, in the prior art, it is often necessary to carefully observe the palm of ...

AI Technical Summary

Problems solved by technology

However, there are many defects in this method, such as: the observation results depend on the experience, medical expertise and mental state of the person performing the inspection, which may lead to inaccurate inspection results, and at the same time, the detection records and evidence cannot be left, which is not conducive to timely medical treatment; in addition, Detection is difficult, and kindergartens or educational institutions generally lack experienced professional health doctors or teachers

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