Dynamic Image Generation Using Half Mirror and Sensor Feedback
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Solution Overview
Problem
Existing visual illusions in theaters and theme parks are not tailored to individual audience members, lacking dynamic and personalized experiences.
Innovation Solution
An apparatus combining a display device and a half mirror to generate a dynamic image that appears to be co-located with reflected images, using real-time attributes of observers to adjust the positioning of objects in the image, such as distance and interaction, through a computing platform that processes image and sensor data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional mirrors and optical devices are used to create visual illusions, then the illusion effect is achieved, but the experience is not tailored to individual audience members
Solution Approach 1:
The system dynamically adjusts the projected image parameters (position, size, orientation) in real-time based on observer attributes detected by sensors. The display device transitions from static predetermined illusions to dynamic adaptive illusions that respond to individual observers, resolving the contradiction between personalization and complexity by using automated real-time adjustment rather than multiple fixed systems
Solution Approach 2:
The system implements a feedback loop where sensors detect observer attributes (position, orientation, characteristics), the computing platform processes this data to determine optimal image parameters, and the display device adjusts the projected image accordingly. This closed-loop feedback enables personalized illusions without requiring complex manual configuration for each observer
Solution Approach 3:
The computing platform acts as an intermediary between the sensors and the display device, processing observer attribute data and translating it into appropriate image parameter adjustments. This intermediary layer simplifies the overall system architecture by centralizing the decision-making logic, avoiding the need for direct complex interactions between multiple sensors and the display system
2Adaptability or versatility
If predetermined visual illusions are used, then the setup is simple, but the experience lacks dynamic and personalized elements
Solution Approach 1:
The system performs self-adjustment by automatically detecting observer attributes through sensors and autonomously modifying the projected image parameters without requiring operator intervention. The computing platform executes algorithms that independently determine optimal image configuration based on real-time sensor data, enabling dynamic personalization while maintaining ease of operation
Solution Approach 2:
The system pre-establishes the computational framework and sensor integration infrastructure that enables automatic real-time adjustment. By preparing the processing algorithms and detection systems in advance, the system can dynamically customize illusions without requiring complex real-time decision-making or manual configuration during operation
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Creates a personalized and dynamic visual illusion for observers, allowing objects in the image to appear as if they are in front of, behind, or co-located with the observer based on real-time data, enhancing engagement and immersion.
Implementation Method 1
The reflected component may comprise a reflection of an image of one or more objects at a location separated from one surface of the half mirror
Implementation Method 2
The transmitted component may comprise a transmission of the dynamic image through the half mirror
Data Source
AI summary
The subject matter disclosed herein relates to a method and/or system for generating a dynamic image based, at least in part, on attributes associated with one or more individuals.