Interphone auxiliary rescue method and system based on rescue scene fall detection

By applying a generative adversarial network on the walkie-talkie for fall detection and risk assessment, the problem that traditional communication equipment cannot efficiently locate and identify risks in the case of falls is solved, and the safety of rescue personnel is effectively improved.

CN119649542AActive Publication Date: 2025-03-18SHENZHEN AUGOO COMM EQUIP CO LTD
5 Cites 2 Cited by

Patent Information

Application Number
CN202510166682.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-14
Publication Date
2025-03-18
Estimated Expiration
2045-02-14

AI Technical Summary

Technical Problem

In outdoor rescue, industrial operations and high-risk environments, traditional communication equipment cannot efficiently locate and identify risks when a person falls, resulting in the safety and search and rescue ability of rescue personnel being threatened.

Method used

Anomaly detection model based on Generative Adversarial Network (GAN) is adopted, and real-time analysis is carried out through the intercom's motion status data to detect fall conditions, and risk assessment is carried out in combination with fall warning information to determine whether collaborative rescue is needed, and communication optimization is carried out to expand the communication range.

Benefits of technology

It improves the safety and searchability of rescue personnel when conducting rescue missions, ensures that they can be identified and respond in a timely manner when falling incidents occur, and reduces safety risks during the rescue process.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention discloses an interphone auxiliary rescue method and system based on rescue scene fall detection, and the method comprises the steps: obtaining rescue state collection information, carrying out the preprocessing, and constructing an operation environment data sequence, a communication state data sequence, and a motion state data sequence; constructing an anomaly detection model, and inputting the motion state data sequence to analyze abnormal motion state data in the real-time rescue task; performing fall detection on the target interphone user, and judging whether a fall condition exists or not; if the tumble condition exists, tumble risk assessment is carried out in combination with the tumble early warning information, and whether collaborative rescue needs to be carried out or not is judged; and if cooperative rescue needs to be carried out, interphones of other rescuers are searched in the current communication environment for cooperative rescue, and communication optimization is carried out in combination with the operation environment data sequence and the communication state data sequence so as to expand the communication range. Therefore, safety accidents caused by the fact that rescue workers cannot ask for help autonomously in emergency situations in rescue actions are avoided.
Need to check novelty before this filing date? Find Prior Art