Multifunctional health monitoring and early warning system based on radar and vision fusion

Through a multifunctional health monitoring and early warning system integrating radar and vision, the problem of high false alarm rate caused by a single sensor is solved, and accurate identification and timely warning of abnormal situations are achieved.

CN120356705AActive Publication Date: 2025-07-22SHENZHEN LESHAO ELECTRONIC TECH CO LTD
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Patent Information

Application Number
CN202510759839.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-09
Publication Date
2025-07-22
Estimated Expiration
2045-06-09

AI Technical Summary

Technical Problem

The existing health monitoring system relies on a single sensor and is susceptible to environmental interference, resulting in a high false alarm rate and affecting the accuracy of early warning information.

Method used

A multifunctional health monitoring and early warning system that integrates radar and vision is adopted. The radar module transmits radar signals and camera modules to collect image feedback signals, combines the monitoring and identification module to conduct two-way abnormal judgments, generates early warning instructions, and uploads them to the cloud platform for risk analysis and early warnings.

Benefits of technology

It improves the accuracy and timely identification of abnormal situations, reduces the false alarm rate, and enhances the real-time and accuracy of early warnings.

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Abstract

The invention provides a multifunctional health monitoring and early warning system based on radar and vision fusion, and relates to the technical field of intelligent early warning, and the system comprises a feedback receiving module which receives a radar feedback signal and an image feedback signal; the monitoring identification module traverses the target monitoring area to determine monitoring data, and carries out monitoring identification; the abnormity judgment module is used for carrying out fusion analysis on the first monitoring data set and the second monitoring data set, carrying out bidirectional abnormity judgment and generating an early warning instruction; and the risk analysis module uploads the abnormal judgment result to a cloud platform for risk analysis, and sends early warning information to a remote terminal according to the risk level. According to the invention, the technical problem that the accuracy of early warning information is affected due to high false alarm rate caused by environmental infection due to dependence on a single sensor in health monitoring in the prior art can be solved, risk assessment is carried out by combining radar and visual fusion, the accuracy of anomaly recognition is improved, and the accuracy of early warning information is improved. And the early warning real-time performance and accuracy are improved.
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