Sensor Data Fusion with Mathematical Validation for Real-Time Accuracy

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing sensor data fusion systems fail to create actionable data by correlating and fusing heterogeneous, partially heterogeneous, or homogeneous data sources in real-time, leading to excessive computational and storage requirements, and lack of sensor accuracy assurance.

Innovation Solution

A system and method for sensor data fusion that includes a computer processor with curation, link, fusion, inference, and validation engines to curate and mathematically link sensor data before storage, creating a unique dataset with enhanced accuracy and reduced computational and storage demands.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If sensor data from multiple sources is fused without mathematical validation, then data completeness is improved, but data accuracy deteriorates

Engineering Contradiction:

Improvedata completenessVSAvoiddata accuracy

Core Design Contradiction:

Quantity of substanceVSMeasurement precision

Solution Approach 1:

The patent introduces a mathematical validation mechanism as an intermediary between raw sensor data fusion and final data output. This validation layer verifies the mathematical relationships between fused data points, ensuring that only accurately correlated data is incorporated, thus maintaining data completeness while preserving accuracy through the intermediary validation step.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Loss of information

If all sensor data is stored before fusion, then data availability is improved, but storage requirements worsen

Engineering Contradiction:

Improvedata availabilityVSAvoidstorage requirements

Core Design Contradiction:

Loss of informationVSQuantity of substance

Solution Approach 1:

The patent performs preliminary mathematical validation and correlation analysis on sensor data before storing it in the database. By pre-processing the data to establish mathematical relationships and filter out redundant information in advance, the system ensures data availability for future fusion operations while significantly reducing storage requirements through early data optimization.

Inventive Principle:

Principle #10Preliminary action

3Speed

If heterogeneous sensor data is fused without correlation analysis, then fusion speed is improved, but fusion quality deteriorates

Engineering Contradiction:

Improvefusion speedVSAvoidfusion quality

Core Design Contradiction:

SpeedVSReliability

Solution Approach 1:

The patent implements a selective correlation analysis that focuses only on the most critical mathematical relationships between heterogeneous sensor data types rather than analyzing all possible correlations. This partial action approach maintains acceptable fusion speed while ensuring sufficient fusion quality by concentrating computational resources on the most impactful data relationships.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS12579221B2Systems and methods of sensor data fusion

Publication Date: 2026.03.17 DIGITAL GLOBAL SYSTEMS INC

AI summary

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.