Drone Projection Mapping With Real-Time Surface Adaptation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image projection systems using fixed projectors struggle to maintain accurate and distortion-free image projection on dynamic or moving surfaces, such as buildings or vehicles, due to the lack of adaptive projection technologies that can adjust to changes in drone position and surface movement.
Innovation Solution
A system utilizing drones equipped with projectors, navigation units, and processors that generate and adapt projection surface architectures by identifying reference points on the surface, determining relationship data, and adjusting images in real-time to ensure accurate projection across stationary or moving surfaces, even when the drone and surface are in motion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional fixed projectors are used to project images onto surfaces, then the projection system is simple and stable, but the image projection becomes distorted when the surface or projector position changes
Solution Approach 1:
The patent applies dynamics by transitioning from fixed projectors to movable drones equipped with projectors. The drone platform enables the projection system to move and adapt its position dynamically, allowing accurate projection onto surfaces regardless of position changes. The drone's mobility transforms the static projection system into a dynamic one that can adjust to various spatial configurations.
Solution Approach 2:
The patent implements feedback through navigation units that determine the drone's location and processors that adapt the projection surface architecture based on this location data. The system continuously monitors the drone's position and adjusts the projection accordingly, creating a closed-loop control system that maintains image accuracy despite position changes.
2Adaptability or versatility
If drones with movable projectors are used, then adaptability to different surfaces and positions is improved, but the system complexity increases due to navigation units and real-time adaptation requirements
Solution Approach 1:
The patent applies universality by integrating multiple functions into the drone platform. The drone serves as both the projection platform and the navigation system, while the processor handles both image adaptation and projection control. This multi-functional approach reduces overall system complexity compared to having separate fixed projectors and control systems.
Solution Approach 2:
The patent replaces complex mechanical adjustment mechanisms with electronic and software-based solutions. Instead of mechanically adjusting fixed projectors to track surface movements, the system uses digital image adaptation through processors that modify the projection based on navigation data, substituting mechanical complexity with computational simplicity.
3Manufacturing precision
If real-time image adaptation is performed based on location data, then image projection accuracy is maintained during motion, but processing requirements and time consumption increase
Solution Approach 1:
The patent applies preliminary action by having the processor adapt the projection surface architecture in advance based on anticipated or current location data. The system prepares the corrected projection image before actual projection occurs, ensuring accuracy is maintained without requiring complex real-time processing during the projection moment itself.
Data Source
AI summary
A system including a drone having a projector to project an image from a projection origin. The drone also has a navigation unit to determine location information for the drone. A processor coupled to the drone includes a memory. Execution of programming by the processor configures the system to obtain a projection surface architecture for a projection surface. The projection surface architecture includes reference points that correspond to physical locations on the projection surface. Each reference point is associated with relationship data with respect to an architecture origin. The system also receives location information for the drone, adapts the relationship data responsive to change in the location information, adjusts the image using the adapted relationship data, and projects the adjusted image onto the projection surface.