Dynamic Lighting System for Selective Detail Enhancement
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Solution Overview
Problem
Traditional lighting systems are limited in their ability to provide optimal illumination for subjects with varying textures and colors, as they typically use a single lighting condition and struggle to selectively enhance specific details without illuminating adjacent areas.
Innovation Solution
A lighting system that includes an image capture device, image processor, and projector, which captures images of a subject, generates an illumination pattern based on the image data, and projects it back onto the subject to enhance visibility and appearance, using techniques such as high dynamic range imaging and digital image processing to render non-visible features visible.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single lighting condition is used to illuminate the entire subject uniformly, then the system simplicity is maintained, but the ability to enhance specific details with optimal lighting conditions is lost
Solution Approach 1:
The patent segments the illumination into multiple independently controllable light sources, each capable of providing different lighting conditions (intensity, color, angle). This allows selective illumination of different subject regions with optimized lighting parameters, resolving the contradiction by enabling lighting condition adaptability through spatial segmentation of the illumination system.
Solution Approach 2:
The system dynamically adjusts lighting conditions for different regions of the subject based on captured image analysis. The control system modifies intensity, color, and direction of individual light sources in real-time to optimize enhancement of specific textures and colors, thereby achieving lighting condition adaptability while managing complexity through dynamic control rather than static multiple sources.
2Adaptability or versatility
If the entire subject is illuminated uniformly, then visibility is improved across the whole subject, but specific details cannot be selectively enhanced without also illuminating adjacent areas
Solution Approach 1:
The patent applies local quality by assigning different lighting characteristics (intensity, color temperature, direction) to different spatial regions of the subject. Each light source is positioned and controlled to illuminate specific areas with optimized parameters tailored to local features such as texture type and color, enabling selective enhancement of specific details while leaving adjacent areas with different characteristics unaffected.
3Measurement precision
If multiple lighting conditions are applied simultaneously to different regions, then selective detail enhancement is achieved, but the system complexity increases
Solution Approach 1:
The system employs feedback by capturing images of the subject under current lighting conditions, analyzing the results to identify which features need enhancement, and automatically adjusting the lighting parameters accordingly. This closed-loop control enables precise feature enhancement through iterative optimization, managing system complexity by using automated image-based feedback rather than requiring manual configuration of multiple light sources.
Data Source
AI summary
A novel lighting system includes an image capture device, an image processor, and an image projector. In a particular embodiment, the image capture device captures and converts images of a subject into image data, the image processor generates illumination patterns based on the image data, and the image projector projects the illumination patterns onto the subject. Optionally, the lighting system includes a controlled feedback mechanism for periodically updating the illumination pattern. In a more particular embodiment, the lighting system continually updates the illumination pattern to illuminate the subject in real-time.