Mobile Device Vision Code Composite Image
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Solution Overview
Problem
Current card stunt implementations are time and resource intensive, requiring months of planning and costly infrastructure, making them inefficient for quick expression or large-scale collective visualization.
Innovation Solution
A method using mobile devices with cameras and sensors to identify vision code data, calculate local observations, and send them to a cloud-side service for processing, allowing for the deployment of visualization data that creates a composite image when displayed collectively, eliminating the need for pre-planning and infrastructure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional card stunt implementations are used, then a composite image can be created through coordinated display, but the process requires months of planning and costly infrastructure
Solution Approach 1:
The patent uses vision code data captured by camera sensors to create digital representations of physical cards or displays. Instead of requiring physical card coordination and infrastructure, the system copies visual information through image capture and processing, enabling virtual card stunts that eliminate months of planning while maintaining the composite image creation capability
Solution Approach 2:
The patent replaces the mechanical coordination system (physical card handling, manual positioning, and infrastructure setup) with an automated computer vision system. The hardware camera and processing algorithms substitute for human coordination efforts, eliminating the need for costly infrastructure and extensive planning time
2Ease of manufacture
If traditional card stunt implementations are used, then a composite image can be created, but rehearsals and costly infrastructure are required
Solution Approach 1:
The system enables each mobile device to autonomously capture vision code data, process local observations, and contribute to the composite image without requiring external coordination or infrastructure. The devices self-organize through distributed vision code identification and cloud-based processing, eliminating rehearsals and reducing resource consumption to only the mobile devices themselves
Solution Approach 2:
The patent makes mobile devices universal tools that can both capture vision code data and display results without requiring specialized infrastructure. The same mobile device serves multiple functions (camera, processor, display), eliminating the need for dedicated rehearsal facilities and reducing overall resource consumption
3Adaptability or versatility
If vision code identification and cloud processing are used, then collective visualization can be achieved without infrastructure, but device coordination complexity increases
Solution Approach 1:
The patent introduces a cloud service as an intermediary that receives vision code data from multiple mobile devices, processes the local observations, and coordinates the composite image generation. This intermediary manages the coordination complexity centrally, allowing individual devices to remain simple while achieving sophisticated collective visualization across diverse environments
Data Source
AI summary
A computer-implemented method according to one embodiment includes identifying, utilizing a hardware camera of a mobile device, vision code data from a plurality of additional devices that are within a field of view of the hardware camera of the mobile device at an actual orientation, identifying the actual orientation of the mobile device, calculating local observations at the mobile device, sending the local observations from the mobile device to a cloud-side service, receiving a tile at the mobile device from the cloud-side service, and outputting the tile at the mobile device.