Bi-Directional Data Connectors for Low-Latency Feature Synchronization

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Solution Overview

Problem

Existing systems face challenges in efficiently synchronizing changes across heterogeneous data sources within a distributed content creation environment, leading to errors and delays due to manual tracking and updating of different file types and capabilities.

Innovation Solution

Implementing bi-directional connectors that listen for changes at specified addresses in data sources, allowing automatic propagation of updates to linked components without synchronizing entire scenes or files, using machine learning for feature identification and synchronization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual tracking and updating of different file types is used, then synchronization between heterogeneous data sources can be performed, but errors and delays occur

Engineering Contradiction:

Improvesynchronization accuracyVSAvoidsynchronization delay

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical synchronization processes with an automated machine learning-based system. The system automatically detects changes in one data source and propagates them to linked data sources, eliminating manual intervention and reducing both errors and delays in synchronization.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The synchronization system performs self-service by automatically detecting changes, determining the appropriate data source to update, and propagating changes without requiring manual intervention. The system monitors itself and autonomously maintains synchronization across heterogeneous data sources.

Inventive Principle:

Principle #25Self-service

2Reliability

If entire scenes or files are synchronized, then completeness of data consistency is achieved, but latency and complexity increase

Engineering Contradiction:

Improvedata consistencyVSAvoidsynchronization latency

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent segments the synchronization process by identifying and updating only the specific features or portions of data that have changed, rather than synchronizing entire scenes or files. This selective approach maintains data consistency while significantly reducing the time and computational resources required.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system extracts and updates only the specific changed features from the data sources rather than processing entire files. By taking out only the necessary portions for synchronization, the system achieves data consistency with reduced latency and complexity.

Inventive Principle:

Principle #2Taking out (Extraction)

3Extent of automation

If bi-directional connectors are implemented, then automatic update propagation is achieved, but system complexity increases

Engineering Contradiction:

Improveautomatic synchronizationVSAvoidconnector system complexity

Core Design Contradiction:

Extent of automationVSDevice complexity

Solution Approach 1:

The patent implements universal bi-directional connectors that can handle multiple data sources and feature types through a single standardized interface. This multi-functional approach enables automatic synchronization across diverse systems while maintaining manageable complexity through reuse and standardization.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20260010873A1Bi-directional synchronization between heterogeneous data sources in distributed content creation environments

Publication Date: 2026.01.08 NVIDIA CORP

AI summary

Approaches presented herein provide systems and methods include bi-directional connectors to transmit information between different address locations associated with different data sources. One or more features may have associated values corresponding to one or more parameters of the feature. These features may be stored in multiple different data sources, where the data sources may have different properties or functionality. A bi-directional connector may be established to link the respective address locations for common features between different data sources so that changes at one data source can be recognized, evaluated, and then implemented in the other connected data sources.