Automatic Projection Focusing for Mobile Surfaces
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Solution Overview
Problem
Existing projector systems face difficulties in maintaining focus when the projector or projection surface is mobile, leading to image distortion and inadequate focus on regions of interest, as traditional autofocus methods rely on static monitoring points and fail to compensate for motion.
Innovation Solution
A system that uses processors and sensors, including cameras, to identify and monitor specific regions of a projected image that are not in motion, determining the need for refocusing based on attributes like sharpness and contrast, and dynamically adjusts the projection to maintain focus, even when the projector or surface is moving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional static autofocus is used to monitor a specific point or region, then the autofocus algorithm can maintain focus on that static region, but it fails to compensate for motion of the projector or surface and does not keep the region of most likely interest in focus
Solution Approach 1:
The patent transforms the static autofocus monitoring point into a dynamic system that continuously identifies and tracks regions of interest. Instead of fixing the monitoring location, the system dynamically determines which region should be monitored based on current image content and motion detection, allowing the focus monitoring to adapt to moving projectors or surfaces while maintaining precision on the most relevant region
Solution Approach 2:
The system implements feedback by continuously monitoring the projected image for motion, identifying stable regions that represent regions of interest, and using this information to adjust the focus monitoring location. This closed-loop feedback ensures the system maintains focus on the most likely region of interest while adapting to motion conditions
2Adaptability or versatility
If the projector or surface is mobile, then the system gains versatility in dynamic environments, but the projected image becomes distorted and focus is lost
Solution Approach 1:
The system performs preliminary motion detection and region identification before focus adjustment is needed. By continuously monitoring the projected image and identifying stable regions in advance, the system is prepared to maintain focus on the correct region even as motion occurs, preventing focus loss rather than reacting after it happens
Solution Approach 2:
The system changes the parameter being monitored from a fixed spatial coordinate to a dynamically identified region of interest. By detecting motion and identifying stable regions within the projected image, the system adapts its focus monitoring parameters to maintain reliability in dynamic environments
Data Source
AI summary
Techniques are described for performing automatic focusing of a projected image on a mobile projection surface. Specific regions of the projected image are identified that are likely to be desired to stay in optimal focus, and attributes of those specific regions, such as sharpness and contrast, can be used to determine the need to refocus the image. Advanced knowledge of the image data being projected can be utilized to determine the specific regions of the projected image that require monitoring for optimal focusing.