Mobile Data Correlation via Semantic Analysis
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Solution Overview
Problem
Current data processing systems require manual intervention for correlating different types of multimedia data, which is laborious and inefficient, especially in managing business-relevant information and personal organization, and is not feasible on mobile terminals with low computing power.
Innovation Solution
A system comprising a pick-up device with image acquisition and data record generation, a correlation device for semantic analysis, and a user device for storage, which enables the automatic correlation of multimedia data by transmitting images to a central computer for evaluation and bundling different types of data, and returning the combined data for further use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual input and management of data records is used, then data processing can be performed, but labor efficiency deteriorates and processing time increases
Solution Approach 1:
The system enables automatic data correlation where the computer program autonomously acquires images, performs OCR recognition, extracts semantic information, and correlates data records without requiring manual intervention. The program serves itself by automatically managing the entire data processing workflow from image acquisition to data bundling and storage.
Solution Approach 2:
The patent replaces manual mechanical operations with automated digital processes. Optical character recognition technology converts physical or digital images of text into machine-readable data, substituting manual data entry and correlation tasks with automated image processing and semantic analysis algorithms.
2Productivity
If automatic correlation of multimedia data is implemented on mobile terminals, then processing speed improves, but device complexity and resource requirements increase
Solution Approach 1:
The patent extracts the complex computational tasks of semantic analysis and data correlation from the mobile terminal and relocates them to a server system. The mobile terminal retains only lightweight functions for image acquisition and data transmission, while the server performs the resource-intensive OCR processing, semantic extraction, and data bundling operations.
Solution Approach 2:
The system introduces a server as an intermediary between the mobile terminal and the data storage system. The server acts as a mediator that receives images from the mobile terminal, performs complex processing, and returns correlated data records, thereby offloading computational burden from the mobile device while maintaining automatic correlation functionality.
3Ease of operation
If multimedia data correlation is automated, then data management efficiency improves, but system complexity increases
Solution Approach 1:
The patent creates a universal data correlation system that can handle multiple types of data records (contact information, appointment data, image data) through a single integrated platform. The server system provides multi-functional capabilities including OCR processing, semantic analysis, data correlation, and storage, replacing the need for multiple separate applications and manual operations.
Data Source
AI summary
The invention relates to a system for data correlation, having: a receiving device 1 having an image acquisition element 10 and a data set generator 12 for generating at least one object data set from at least one acquired first image, which represents a physical object, and an identification label, which uniquely determines an object-related acquisition procedure, and at least one information data set from at least one acquired second image, which represents coded information related to the physical object, and the identification label; a correlation device 2 for the extraction 20 of the coded information from the information data set, for the semantic analysis 22 of the extracted information, and for the generation of at least one combination data sets ε from the results of the semantic analysis, the extracted information, and the at least one object data set with the same identification label as the extracted information data set; and a user device 3 for the storage and further use of the combination data set.