Event Visualization Tool Synchronizing Disparate Data Sources
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Solution Overview
Problem
Current data analysis tools lack the capability to efficiently synchronize and visualize data from disparate sources, making it difficult for analysts to interpret and share comprehensive event understanding effectively.
Innovation Solution
A synchronization and event visualization tool that initializes location data sets with metadata, compares and normalizes multimedia file metadata to render a sequential dimensional representation, allowing for synchronized multimedia file playback and geospatial/temporal context visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual synchronization and manipulation of datasets is used, then comprehensive understanding of event data can be achieved, but the process becomes time-consuming and inefficient
Solution Approach 1:
The patent replaces manual mechanical synchronization processes with automated computational systems. The event visualization system automatically synchronizes multiple datasets (tracking coordinates, images, videos, metadata) through computer-based processing, eliminating the need for manual alignment while maintaining comprehensive event understanding. This substitution of mechanical/manual operations with automated computational methods directly resolves the time-consuming nature of manual synchronization.
2Loss of information
If data from multiple disparate sources is aggregated, then comprehensive event information is available, but data organization and synchronization become complex and difficult
Solution Approach 1:
The event visualization system serves multiple functions within a single integrated platform: it aggregates data from disparate sources, synchronizes temporal and spatial information, visualizes event sequences, and enables analysis. This multi-functional approach consolidates what would otherwise require separate tools and processes, reducing organizational complexity while maintaining comprehensive information from multiple data sources.
Solution Approach 2:
The system introduces an intermediary event visualization framework that mediates between disparate data sources and the analyst. This framework provides a unified structure for organizing and synchronizing data from multiple sources, acting as an intermediary layer that manages complexity while preserving the comprehensive information needed for event understanding.
3Measurement precision
If detailed analysis of each data product is performed separately, then specific insights can be obtained, but the interrelationships between datasets remain unclear
Solution Approach 1:
The system merges separately analyzed data products into a unified event visualization. By combining tracking coordinates, images, videos, and metadata into a single synchronized temporal-spatial framework, the system preserves specific insights from individual data products while simultaneously revealing their interrelationships within the broader event context.
Data Source
AI summary
The present invention includes a system and process to visualize an event. The event visualization includes one or more physical entities that generate data experienced thereby and generate executable files related to their vantage points. A file manipulation engines normalizes data both existing in pure data form as well as data within the executable files. A visual display renders a representation of the data along with executable files that are correlated to the data.