A child safety internet surfing computer intelligent monitoring system and device
This child internet monitoring system, which combines millimeter-wave radar and ambient light sensors with convolutional neural networks, enables precise monitoring and personalized intervention of children's physiological state. It solves the problems of limited functionality and high false alarm rates of existing products, providing dynamic visual and psychological protection and improving the accuracy and adaptability of protection.
Patent Information
- Application Number
- CN202610826753.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-06-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing child internet monitoring products have limited functionality, making it difficult to adapt to changes in online content. They lack accurate monitoring and personalized intervention for children's physiological state, and existing monitoring methods have a high error rate and are not humane enough to form a comprehensive protection system.
A millimeter-wave radar sensor array is used to collect eye movements, respiratory rate and body surface temperature in real time. Combined with ambient light sensor to monitor environmental data, a convolutional neural network is used to extract eye movement feature vectors to calculate a dynamic fatigue index and dynamically adjust the fatigue threshold to trigger visual protection and anxiety relief protocols. Multimodal feedback is used for adaptive learning optimization.
It achieves accurate and non-intrusive monitoring of children's physiological state, dynamically adjusts fatigue and anxiety assessment, provides personalized visual and psychological protection, reduces misjudgment rate, and improves protection accuracy and adaptability.
Smart Images
Figure CN122398236A_ABST