Local Memory Computing Device with Blockchain Curation

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Solution Overview

Problem

Human memories are fragile and dispersed across various platforms, with online storage services often exploiting user data without consent, and existing network attached storage devices are not optimized for memory preservation or legacy transfer.

Innovation Solution

A computing device equipped with AI algorithms for capturing, curating, and storing memories in a closed system, using blockchain technology for immutability and non-fungible tokens, allowing users to control and share their memories securely and privately.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If online storage services are used to store digital memories, then storage capacity and accessibility are improved, but data privacy and user control deteriorate as services mine personal data without consent

Engineering Contradiction:
Improvestorage accessibilityVSAvoiddata exploitation
Core Design Contradiction:
Adaptability or versatilityVSObject-affected harmful factors

Solution Approach 1:

The patent introduces a local computing device as an intermediary between users and online storage services. This device acts as a gateway that allows users to access and manage their memories locally while selectively sharing only authorized data with online services, thereby preventing unauthorized data mining while maintaining storage accessibility.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system segments memory storage into local and cloud components. Sensitive personal memories are stored locally on the user's device where full control is maintained, while non-sensitive or shared memories can be stored in the cloud. This segmentation allows users to benefit from cloud storage capacity without exposing all personal data to potential exploitation.

Inventive Principle:
Principle #1Segmentation

2Quantity of substance

If digital memories are stored across multiple platforms (computers, phones, online services), then storage capacity is improved, but data integrity and security deteriorate due to分散ed control and vulnerability

Engineering Contradiction:
Improvestorage capacityVSAvoiddata integrity
Core Design Contradiction:
Quantity of substanceVSReliability

Solution Approach 1:

The patent merges multiple storage locations into a unified memory management system. The local computing device consolidates memories from various sources (computer, phone, online services) into a single controlled environment, eliminating the fragmentation that causes data integrity issues while maintaining the total storage capacity across distributed physical media.

Inventive Principle:
Principle #5Merging (Combining)

3Quantity of substance

If network attached storage devices are used, then centralized storage is improved, but ease of operation and integration with software interface deteriorate

Engineering Contradiction:
Improvecentralized storageVSAvoidsoftware integration
Core Design Contradiction:
Quantity of substanceVSEase of operation

Solution Approach 1:

The local computing device is designed with multi-functionality, serving both as a storage device and a fully functional computer with complete software integration. It can operate as a network attached storage device for centralized storage while simultaneously providing full computing capabilities, user-friendly interfaces, and seamless integration with various software applications, eliminating the limitations of dedicated NAS devices.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS11928146B2Perpetual system for capturing, curating, preserving, storing, positioning, reliving, and sharing memories
Publication Date: 2024.03.12 MEMORYTHIUM CORP
  • US11928146B2 patent drawing
  • US11928146B2 patent drawing
  • US11928146B2 patent drawing

AI summary

Techniques for maintaining and curating memories stored as data objects are described. A computing device receives a data object. The computing device analyzes, using a model, the data object to determine one or more classifications for the data object. The computing device stores the data object and the one or more classifications for the data object in a storage component of the computing device.