Aligning Position Data with Images Using Temporal Synchronization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Portable devices often struggle to effectively align position data and captured images, making it difficult for users to recall the path traveled and the corresponding scenery, especially when a large number of images are collected over a meandering route.
Innovation Solution
A system and method that aligns position data and images by associating groups of position coordinates with corresponding image data points, using date and time information to synchronize the alignment, and allowing for user adjustments to correct any misalignments, presented in a graphical format for easy review and storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If position data and images are collected over a meandering route with many images, then the quantity of data increases, but the difficulty of aligning position data with corresponding images increases
Solution Approach 1:
The system performs preliminary alignment by automatically associating position data with images using date and time information before user review. This preliminary action reduces the complexity of manual alignment by pre-organizing data based on temporal correlations, making the subsequent user adjustment process more efficient.
Solution Approach 2:
The system presents a graphical display showing the alignment of position data with images, allowing users to review and provide feedback on the alignment accuracy. Users can make adjustments to correct misalignments, and the system processes these adjustments to refine the association between position coordinates and image data points.
2Productivity
If automatic alignment using date and time information is used, then alignment speed increases, but alignment precision may deteriorate
Solution Approach 1:
The system provides a graphical interface that displays the automatic alignment results, allowing users to review the precision and make manual adjustments if needed. This feedback mechanism ensures that while automatic alignment maintains high speed, users can intervene to correct any precision issues that arise from temporal synchronization limitations.
Solution Approach 2:
The system performs preliminary automatic alignment using date and time information to quickly associate position data with images. This preliminary action establishes a baseline alignment that is then refined through user feedback, combining the speed of automatic processing with the precision of manual verification.
3Loss of information
If detailed position coordinates and image data are stored, then the quality of trip recall increases, but the device complexity increases
Solution Approach 1:
The system merges position data with image data into a unified graphical representation that displays both elements together. By combining these data types into a single integrated view, the system maintains high-quality trip recall information while reducing the apparent complexity for users, as they interact with a unified interface rather than separate data management systems.
Solution Approach 2:
The system creates a graphical copy or representation of the detailed position and image data that is easier to interpret and interact with. This graphical representation preserves the essential information for trip recall while simplifying the user interface, allowing users to review detailed information without directly managing the underlying data complexity.
Data Source
AI summary
A computing device includes a memory configured to store position data and images. The computing device also includes a processor configured to execute instructions to perform a method that includes receiving position data that represents the positions of a position tracking device over a period of time. The position data includes a group of position coordinates that represent a location. The method also includes receiving images that include a group of images associated with the location. The method also includes aligning the group of position coordinates that represent the location and the group of images associated with the location. The method also includes presenting a representation of the alignment of the group of position coordinates and the group of images.