Screen display intelligent switching method and system based on mini PC

By collecting user behavior data in real time and using machine learning algorithms to build an important information switching model, dynamically adjusting the switching threshold, the problems of information switching lag and poor user experience in the existing technology are solved, and efficient and timely information transmission and user attention are achieved.

CN119690555AInactive Publication Date: 2025-03-25SHENZHEN JOYAR SMART MFG TECH LTD
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Patent Information

Application Number
CN202411647785.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-18
Publication Date
2025-03-25
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing multi-display information switching system lacks dynamic monitoring and analysis of user behavior, resulting in lag in information switching and is unable to respond to user needs in a timely manner, affecting information transmission efficiency and user experience.

Method used

By collecting relative position data, visual habit data and important information labeling data between smart glasses and the display screen in real time, using machine learning algorithms to build an important information switching model, dynamically adjust the switching threshold of the degree of information change, and generate a screen alarm signal to timely feedback important information changes.

Benefits of technology

It effectively improves the timeliness and accuracy of information transmission, optimizes the information processing mechanism, increases users' attention to important information, and dynamically adjusts the switching threshold, improving the flexibility and responsiveness of information switching.

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Abstract

The invention provides a screen display intelligent switching method and system based on a mini PC, and relates to the technical field of display control. User behavior data and important information mark data which are collected in real time are utilized, an important information switching model is constructed based on a machine learning algorithm, the switching threshold value of the information change degree can be dynamically adjusted, and the user experience is improved. Timeliness and accuracy of information transmission are effectively improved; when the change degree of the important information exceeds a threshold value, the system can quickly generate a screen alarm signal so as to achieve a high-probability successful triggering rate; therefore, the information processing mechanism is optimized, and the attention of the user to important information is increased; the information management of the multiple display screens is optimized, and the attention and response capability of the user to important information are improved by setting an alarm mechanism and front view degree prompt, so that a new thought and direction are provided for the development of the information technology.
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