Intelligent memory auxiliary system based on end-cloud collaboration and data sovereignty and electronic equipment thereof

CN122090841APending Publication Date: 2026-05-26SHENZHEN XINZHENGYU TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN XINZHENGYU TECH
Filing Date
2026-02-10
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing smart memory devices suffer from issues such as lack of privacy and trust, conflict between interaction and battery life, passivity and isolation, high barriers to entry, and unclear ownership of data assets, failing to meet the efficient memory assistance needs of knowledge workers.

Method used

It adopts an intelligent memory assistance system based on end-to-cloud collaboration and data sovereignty. Through device-side non-intrusive collection and encrypted voiceprint features, combined with low-power narrowband IoT transmission, cloud-based cognitive memory and proactive care decision-making, and integrated low-power display and one-click destruction mechanism, it ensures user privacy and data control.

Benefits of technology

It achieves low power consumption and long battery life, seamless interaction, intelligent decision support and data sovereignty protection, and provides convenient memory assistance and proactive care services, improving the system's functional accuracy and user experience.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an intelligent memory auxiliary system based on end-cloud collaboration and data sovereignty and electronic equipment thereof, and relates to the technical field of intelligent auxiliary equipment and artificial intelligence, and the intelligent memory auxiliary system based on end-cloud collaboration and data sovereignty comprises an equipment end collection desensitization module which is used for non-inductively collecting environment audio; the communication transmission module is used for performing event-driven data uploading by adopting a low-power-consumption narrowband Internet of Things technology; the cloud cognitive memory module is used for receiving and decrypting the voiceprint feature vector and constructing a dynamic scene memory map of an associated user through voiceprint recognition and matching; an active care decision module and a user interaction and sovereignty module; due to the dual-power topological hardware architecture of the equipment end acquisition desensitization module and the low power consumption design of the communication transmission module, the endurance time is prolonged; on the premise of protecting user privacy and data sovereignty, the personal dynamic memory map can be constructed through ultra-low power consumption non-inductive recording, and decision support is actively provided.
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