Video Projector Auto-Image Correction via Camera Feedback
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Solution Overview
Problem
Portable video projectors often produce suboptimal images due to distortions and focus issues caused by uneven surfaces and incorrect angles, requiring manual adjustments that are not comprehensive or automatic.
Innovation Solution
A system comprising a video projector, camera, and analysis system that projects a test pattern, captures image data, and automatically adjusts settings such as zoom, keystone, and focus to enhance image quality by analyzing distortions and making necessary corrections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual adjustment is used to correct image distortions, then some basic issues can be addressed, but comprehensive automatic correction cannot be achieved
Solution Approach 1:
The system projects a test pattern, captures an image of it with a camera, analyzes the captured image to detect distortions, and automatically adjusts projector settings based on the analysis. This closed-loop feedback mechanism enables comprehensive automatic correction of image quality issues without manual intervention
Solution Approach 2:
The projector system performs self-diagnosis and self-correction by automatically analyzing its own projected image through the camera and test pattern, then adjusting its own settings to correct detected distortions, eliminating the need for external manual adjustment
2Adaptability or versatility
If portable projector is used for flexibility, then mobility is improved, but image quality deteriorates due to uneven surfaces and incorrect angles
Solution Approach 1:
The system automatically adjusts multiple projector parameters including zoom, keystone, and focus settings based on real-time analysis of the projected image, enabling the portable projector to maintain high image quality across various deployment conditions on uneven surfaces and at different angles
3Reliability
If comprehensive automatic correction is implemented, then image quality is improved, but system complexity increases
Solution Approach 1:
The camera serves multiple functions: capturing the projected test pattern image, providing feedback for distortion analysis, and enabling automatic adjustment control. This multi-functionality reduces the need for separate dedicated components for each function, thereby managing system complexity while achieving comprehensive automatic correction
Data Source
AI summary
A system, method and program product for enhancing video content being projected by a video projector. A video projector is disclosed having a projection system for projecting video content onto a surface; a camera for capturing image data from the surface; an analysis system for analyzing captured image data; and a correction system for enhancing the video content being projected onto the surface based on the analysis of the captured image data.