Emergency call system, method and device based on AI vision and storage medium

By integrating DMS and OMS modules with AI vision technology, a multimodal decision-making mechanism is constructed, which solves the problem that traditional vehicle emergency call systems cannot identify high-risk non-collision scenarios. This enables real-time monitoring and proactive intervention of the driver and passengers' status, improving the quality and compliance of accident rescue.

CN120956760APending Publication Date: 2025-11-14慧翰微电子股份有限公司
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Patent Information

Application Number
CN202511108364.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-08
Publication Date
2025-11-14

AI Technical Summary

Technical Problem

Traditional vehicle emergency call systems rely on collision triggers, cannot identify high-risk non-collision scenarios, lack data dimensions, and lack proactive protection, resulting in delays in accident rescue and high compliance costs.

Method used

By integrating DMS and OMS modules with AI vision technology, a multimodal decision-making mechanism is constructed to achieve real-time monitoring and analysis of the driver and passenger status, generate proactive intervention commands, and improve the quality of rescue by expanding the MSD dataset.

Benefits of technology

It enables early identification and proactive intervention of sudden illnesses of drivers and emergency physiological events of passengers, reducing the accident rate, improving the speed and scope of rescue response, and reducing compliance certification costs.

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Abstract

The invention provides an emergency call system, method and device based on AI vision and a storage medium, and relates to the technical field of active safety of intelligent network connection automobiles. The system comprises a camera module, a DMS module, an OMS module, an AI vision algorithm module, an AI vision application module and an eCall application module which work cooperatively. Aiming at the three defects that a traditional emergency call system depends on collision triggering, data dimensions are deficient and active protection is absent, DMS and OMS are innovatively and deeply integrated with the emergency call system, a multi-modal fusion decision mechanism is realized in combination with a layered AI visual architecture, and through deep cooperation of camera shooting, DMS, OMS, AI visual algorithm, AI visual application and an eCall application module, the multi-modal fusion decision mechanism of the emergency call system is realized. A full-link intelligent safety closed loop of sensing, decision making, control and rescue is constructed, early recognition, active intervention and accurate rescue of sudden diseases of drivers, serious fatigue disability and emergency physiological events of passengers are achieved, and meanwhile the rescue quality of collision accidents is improved.
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