Image Grid System Organizing Spatial Relationships
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Solution Overview
Problem
Shared electronic images captured from various angles and distances lack order and relationship, making it difficult for viewers to appreciate the experience at the location where the images were taken.
Innovation Solution
An image grid system that includes a network manager device with a relational component to determine relationships among images and a grid generation component to generate a display of images based on these relationships, creating a grid with multiple viewpoints and populating it with images, along with a database to store image relationships and parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If images are shared directly from different capturing devices without organization, then the quantity of shared images increases, but the order and relationship among images are lost
Solution Approach 1:
The system segments the unorganized image collection into structured groups based on spatial relationships. Images are divided into target images and viewpoint images, with viewpoint images further organized by their positional relationships to the target, creating a hierarchical structure that preserves spatial context while handling large quantities of images
Solution Approach 2:
The system introduces an intermediary processing layer that analyzes image metadata (GPS coordinates, altitude, timestamp) and automatically establishes relationships among images. This intermediary component matches viewpoint images to target images based on spatial criteria, preserving relationship information without requiring manual organization
2Ease of operation
If images are displayed without spatial organization, then the ease of viewing increases, but the ability to appreciate the location experience is reduced
Solution Approach 1:
The system transitions from traditional 2D flat image display to a 3D spatial grid representation that incorporates depth, horizontal position, and vertical altitude dimensions. This dimensional expansion allows viewers to appreciate the spatial context and location experience while maintaining ease of viewing through the structured grid interface
Solution Approach 2:
The system applies different display qualities and organizational structures to different regions of the image grid. Target images receive prominent placement at grid centers, while viewpoint images are positioned according to their spatial relationships, creating a visually hierarchical structure that emphasizes important location information
3Manufacturing precision
If a grid system with relationship analysis is implemented, then the organization and representation quality improve, but the device complexity increases
Solution Approach 1:
The system implements self-service automation where the grid generation component automatically analyzes image metadata, determines spatial relationships, and populates the grid structure without manual intervention. The system serves itself by autonomously organizing images based on embedded GPS, altitude, and timestamp data, reducing the need for complex manual configuration
Data Source
AI summary
An image grid system is provided that includes a network manager device and a database. The network manager device is configured to communicatively connect to an interface device and to receive images. The network manager device includes a relational component and a grid generation component. The relational component is configured to determine at least one relationship among two or more images from the interface device and analyze the two or more images to associate at least one character of the images. The grid generation component is configured to generate an image grid with a plurality of viewpoints about the image grid and populate the viewpoints with the two or more images based on the determined relationship and association of the two or more images. The grid generation component is further configured to generate a display of the image grid. The database is communicatively connected to the network manager device. The database stores the images, image relationships, image associations and/or image parameters.


