Intelligent learning monitoring system based on fog computing
An intelligent learning and monitoring system technology, applied in the field of intelligent learning, can solve problems such as ineffective sharing of information, insufficient functions, and insufficient intelligence in design, and achieve the effects of easy operation, prevention of myopia, and auxiliary learning
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[0026] Example 1:
[0027] The specific implementation of the intelligent study table is as follows:
[0028](1) When the child uses the smart study table, the smart control box can detect the distance between the child and the smart study table in real time. When the child is not more than 1.5m away from the intelligent learning table, the intelligent control unit will call the data acquisition unit to collect the child's image data, and after preprocessing the image data, upload it to the server through the network, and identify the child's height according to the content returned by the server. , and then call the lift control unit to adjust the height of the desktop.
[0029] (2) After the data acquisition unit receives the learning task of the day sent by the mobile phone APP, it transmits the learning task data to the intelligent control unit for classification processing, and then the intelligent control unit controls the display interaction unit to display the data on...
Example Embodiment
[0037] (4) The mobile APP runs related services in the background. When the mobile APP detects the homework message sent by the teacher through the chat group and the school newsletter, it will automatically identify the content of the message, classify the homework, and then send the data. Give the smart study table and update the display content of the first page of the main interface. In addition, when the mobile APP receives the end-of-learning identification information sent by the smart study table, the mobile APP will upload the child's current learning status information to the server. The specific implementation of the server is:
[0038] (1) After the server receives the data from the smart study table, the data processing program at the back end of the server will analyze the learning behavior of the current picture through image recognition. After the analysis is successful, the results will be sent to the mobile APP and the smart study table respectively; After t...
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