Virtual Display Engine for Dynamic Video Wall Mapping
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Solution Overview
Problem
Current multi-screen display systems are unintuitive and inflexible, making it difficult for untrained users to operate and manage complex visual information effectively, and they lack the capability to deliver visual data in an intelligent and efficient manner.
Innovation Solution
A modular system comprising highly configured off-the-shelf hardware driven by customized software that allows for intuitive content mapping on multiple displays, utilizing AI for efficient data acquisition and processing, and enabling real-time content changes for enhanced engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional hardware and software solutions are used to control video walls, then the system can display content, but the system becomes unintuitive to operate and inflexible in actions performed
Solution Approach 1:
The system employs dynamic content mapping where virtual cameras and pixel spaces can be configured and adjusted in real-time through an intuitive interface. The mapping between video walls and content sources is not fixed but can be dynamically changed by users without technical expertise, allowing flexible adaptation to different display scenarios while maintaining ease of operation.
Solution Approach 2:
The system allows users to modify parameters such as video wall dimensions, pixel space configurations, and content mapping relationships through a user-friendly interface. By changing these parameters dynamically rather than requiring hardware reconfiguration, the system achieves both ease of operation and flexibility in actions performed.
2Area of stationary object
If more displays are added to create a video wall, then the display real estate increases for presenting visual information, but the system complexity increases making it difficult to manage
Solution Approach 1:
The system introduces virtual cameras and pixel spaces as intermediary concepts that simplify the management of video walls. Instead of directly managing individual displays, users work with virtual cameras that capture pixel spaces, which are then mapped to video wall configurations. This intermediary layer abstracts the complexity of multiple displays behind a unified interface.
Solution Approach 2:
The system segments the video wall management into discrete controllable units: pixel spaces represent content areas, virtual cameras define viewing perspectives, and mapping relationships connect them to physical displays. This segmentation allows users to manage large video walls by working with smaller, manageable units rather than treating the entire system as a single complex entity.
3Extent of automation
If traditional systems are used to manage visual data, then basic display functionality is provided, but the ability to intelligently access and manage visual data is limited
Solution Approach 1:
The system enables intelligent access and management of visual data through automated processes. The virtual camera and pixel space framework automatically handles the coordination between content sources and video wall displays, reducing manual intervention while maximizing the value and effectiveness of the visual information presented.
Data Source
AI summary
A computer implemented method for mapping video to a video wall. The method provides for receiving, by one or more computing devices, content comprising pixel data. The method also provides for generating, by the one or more computing devices, a pixel space. The pixel data is associated with the pixel space by the one or more computing devices. One or more virtual cameras are generated by the one or more computing devices. A portion of the pixel space is captured by the one or more computing devices, and the portion of the pixel space captured by the one or more virtual cameras for display on the video wall is outputted by the one or more computing devices.