Lighting Fixture Characterization via Wall Image Rectification
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Solution Overview
Problem
Current methods for determining lighting characteristics of fixtures are complex and impractical for variable installation environments, as they require precise tilting and indirect measurements, which are not easily adaptable to different mounting positions.
Innovation Solution
A method using a camera to capture images of a wall illuminated by the lighting fixture, with a rectification module correcting distortion effects, and modules for calculating illuminance, color, and spectral distributions, allowing for precise determination and visualization of lighting characteristics in various positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional measurement methods (light density measuring cameras, goniophotometers) are used to determine lighting characteristics, then measurement precision can be achieved, but device complexity and ease of operation deteriorate due to requiring precise tilting mechanisms and indirect measurements
Solution Approach 1:
The patent uses a camera to capture an image of the wall illuminated by the lighting fixture, creating a visual copy of the light distribution pattern. This image is then processed to extract lighting characteristics, replacing complex physical measurement systems with a simpler optical copying approach that maintains measurement accuracy while reducing device complexity
Solution Approach 2:
The patent replaces mechanical tilting mechanisms and complex positioning systems with a stationary camera and computational image processing. The rectification module corrects perspective distortions algorithmically, substituting mechanical precision requirements with software-based geometric correction, thereby simplifying the overall measurement system
2Measurement precision
If traditional measurement methods are used, then lighting characteristics can be determined, but ease of operation and adaptability worsen due to inability to easily adapt to different mounting positions
Solution Approach 1:
The patent implements a dynamic measurement system where the camera's position and orientation can vary without affecting measurement capability. The rectification module adaptively corrects images based on the actual mounting position and perspective, allowing the system to accommodate different installation scenarios while maintaining measurement accuracy through software-based geometric transformation
3Ease of operation
If a camera captures wall images for lighting measurement, then ease of operation and adaptability improve, but measurement precision deteriorates due to distortion effects from camera lens and wall curvature
Solution Approach 1:
The patent converts the harmful distortion effects introduced by camera lenses and wall curvature into beneficial information. The rectification module uses these distortions as cues to calculate correction parameters, transforming what would be measurement errors into data that enables accurate geometric transformation and perspective normalization, thereby recovering measurement precision while maintaining operational simplicity
Data Source
AI summary
The present disclosure relates to an apparatus for determining the lighting characteristics of a lighting fixture having a camera for capturing a wall image produced on a wall by the lighting fixture and for providing a camera image based on the captured wall image, and having an image evaluation device for evaluating the camera image. The image evaluation device has a rectification module for rectifying the camera image, an illuminance and/or color and/or spectral distribution module for determining an illuminance and/or color and/or spectral distribution in the rectified camera image, and a luminous intensity and/or color point and/or radiant intensity distribution module for determining the luminous intensity distribution and/or angle-dependent color point distribution and/or spectral radiant intensity distribution of the lighting fixture based on the previously determined illuminance and/or color and/or spectral distribution.