UAV Flight Path Synchronization via Metadata Arrays
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current unmanned aerial vehicle (UAV) systems lack efficient automation for synchronizing flight path data with recorded data, leading to fragmented and manual workflows, limiting data analytics and intuitive use.
Innovation Solution
A synchronization system that creates time-stamped telemetry points and recordings, transforms data into metadata arrays, and synchronizes them using a visualizer module to display and manipulate UAV flight path data alongside recorded data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual methods are used to correlate UAV flight path data with recorded data, then flexibility in handling different UAV types is maintained, but productivity and efficiency deteriorate due to fragmented and manual workflows
Solution Approach 1:
The system transforms raw flight path data and recorded data into standardized metadata arrays with unified parameters (timestamps, spatial coordinates, data types). This parameter standardization enables automated correlation across different UAV types without manual intervention, resolving the contradiction between productivity improvement and workflow complexity
Solution Approach 2:
The patent introduces a synchronization system as an intermediary component that receives data from multiple UAV sources, processes them through standardized metadata transformation, and correlates them with flight path information. This intermediary layer abstracts the complexity from end users while enabling efficient automated synchronization
2Productivity
If automated synchronization systems are implemented, then productivity and data analytics efficiency improve, but device complexity increases due to additional processing modules
Solution Approach 1:
The synchronization system is segmented into distinct functional modules: a metadata extraction module that processes recorded data, a flight path data processing module, and a correlation engine. This segmentation allows each module to handle specific tasks independently, reducing overall system complexity while maintaining high automation capability
Solution Approach 2:
The system employs universal metadata array structures and standardized correlation algorithms that can process data from multiple UAV types and sensor configurations. This multi-functionality reduces the need for type-specific processing logic, thereby reducing system complexity while maintaining high productivity across diverse UAV platforms
3Measurement precision
If detailed metadata processing is performed to synchronize flight path data with recorded data, then measurement precision and data correlation accuracy improve, but loss of time increases due to extensive data processing
Solution Approach 1:
The system performs preliminary extraction and organization of metadata from recorded data and flight path data into structured arrays before the actual synchronization process. This preliminary action pre-processes the data in a way that enables rapid, accurate correlation during the synchronization phase, reducing overall processing time while maintaining high precision
Solution Approach 2:
The patent replaces manual, step-by-step data correlation processes with automated computational algorithms that efficiently match metadata entries from different sources. This substitution of mechanical/manual operations with automated computational systems dramatically reduces processing time while maintaining or improving synchronization accuracy
Data Source
AI summary
A positional recording synchronization system can include: creating a time stamped telemetry point for an unmanned aerial vehicle; creating a time stamped recording; creating transformed data from the time stamped recording, the transformed data being tiles for zooming or thumbnails; creating a flightpath array, an image metadata array, and a video metadata array; determining whether entries of the video metadata array match with the flightpath array; determining whether entries of the image metadata array match with the flightpath array; synchronizing the time stamped telemetry point with the time stamped recording based on either the entries of the image metadata array matching the flightpath array, the entries of the visualizer module matching the flightpath array, or a combination thereof; and displaying the time stamped telemetry point as a selection tool for calling, viewing, or manipulating the time stamped recording on a display.