Electronic Device Pattern Detection for Distorted Projection
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Solution Overview
Problem
Electronic devices project images onto surfaces that can be obstructed by objects, causing distortion and glare for individuals in front of the projection surface.
Innovation Solution
The electronic device adds a first pattern to the source image, projects it onto a surface, acquires a second image, identifies distorted regions due to objects, and adjusts the image brightness or color to avoid projecting onto these regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the image is projected onto the projection surface without considering objects in front of it, then the projection coverage is maximized, but image distortion and glare occur when objects are present
Solution Approach 1:
The system performs preliminary actions by capturing images of the projection surface before and during projection, detecting objects in advance, and pre-calculating which regions should be excluded from projection. This allows the projector to avoid projecting onto objects before distortion and glare occur
Solution Approach 2:
The system continuously captures images of the projection surface and processes them to detect object positions and movements. This feedback loop allows real-time adjustment of the projection content to exclude regions where objects are detected, preventing distortion and glare while maintaining overall projection coverage
2Manufacturing precision
If the image is adjusted to avoid projecting onto distorted regions, then image quality is improved, but the effective projection area is reduced
Solution Approach 1:
The projection surface is segmented into multiple regions based on object detection. The system identifies specific areas where objects are present and separates them from the valid projection areas. This allows the image to be adjusted locally in distorted regions while maintaining quality in clear regions, thus preserving overall effective projection area
Solution Approach 2:
Instead of uniformly adjusting the entire projection, the system applies local quality adjustments only to specific regions where objects are detected. The projection content is modified locally to exclude or blur regions corresponding to objects, while leaving other areas unchanged. This maintains high image quality in valid regions while minimizing the reduction of effective projection area
3Measurement precision
If real-time object detection and image adjustment are performed, then projection accuracy is improved, but processing time and computational complexity increase
Solution Approach 1:
The system performs object detection and image adjustment periodically rather than continuously. It captures images at specific intervals, processes them to detect objects, and updates the projection accordingly. This periodic approach maintains projection accuracy while significantly reducing processing time and computational complexity compared to continuous real-time adjustment
Data Source
AI summary
A control method of an electronic device includes: adding a first pattern to a source image to obtain a first image; projecting the first image onto a projection surface; acquiring a second image of the first pattern included in the projected first image; based on the first pattern included in the second image, identifying a pattern region distorted by an object in front of the projection surface; and changing a color or brightness of a portion of the source image that corresponds to the distorted pattern region.