Light Source Controller for Automatic Color Matching
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Solution Overview
Problem
Existing home and office lighting control systems require manual user input to match light source colors with interior and other light sources, which is cumbersome, especially when room or object colors change frequently.
Innovation Solution
A method and controller that analyze images captured by a camera to detect light sources and objects, determine their relative positions, and automatically adjust light source colors to complement the objects, allowing for seamless color matching and gradient effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual user input is used to match light source colors with interior and other light sources, then color coordination can be achieved, but the operation becomes cumbersome especially when room or object colors change frequently
Solution Approach 1:
The lighting control system automatically detects objects in the environment using a camera, extracts their color information, and adjusts light source colors without requiring manual user input. The system serves itself by autonomously matching light colors to object colors in the room, eliminating the need for users to manually adjust colors even when objects or room colors change.
Solution Approach 2:
The system continuously captures images of the environment, analyzes object colors, and uses this feedback to automatically adjust light source colors. This closed-loop feedback mechanism ensures that lighting colors remain coordinated with objects in the room without requiring manual intervention, even when objects are added, removed, or change color.
2Extent of automation
If automatic image analysis is used to detect objects and determine their colors, then manual input is eliminated, but the device complexity increases
Solution Approach 1:
The controller performs multiple functions: it controls light sources, captures images using a camera, analyzes object colors, determines spatial relationships, and adjusts lighting colors. By combining these diverse functions into a single controller, the system achieves high automation without proportionally increasing overall device complexity, as the controller serves as a universal hub for all operations.
Solution Approach 2:
The camera acts as an intermediary between the environment and the control system, capturing visual information that is then processed by the controller. This intermediary approach simplifies the automation process by using a dedicated sensing component rather than requiring the controller to directly sense environmental colors, thereby managing complexity through functional specialization.
3Measurement precision
If relative positions of objects and light sources are determined from images, then accurate color assignment is achieved, but measurement precision requirements increase
Solution Approach 1:
The system assigns different colors to different light sources based on their local spatial relationship to objects in the environment. Each light source is controlled independently with a color that complements the nearest or most relevant object, rather than applying a uniform color to all lights. This local quality approach allows for accurate color matching without requiring extreme measurement precision across the entire system.
Solution Approach 2:
The system adjusts color parameters (hue, saturation, brightness) of light sources based on the colors of detected objects and their spatial positions. By changing these optical parameters dynamically, the system achieves accurate color coordination with objects in the environment without requiring high manufacturing precision in the physical components, as the adjustments are made through controllable electrical parameters.
Data Source
AI summary
A controller and a method for controlling at least two light sources is disclosed. The method 700 comprises: obtaining 702 an image captured with a camera, wherein the image comprises at the least two light sources and at least two objects, analyzing 704 the image to detect the at least two light sources and the at least two objects in the image, identifying 706 the at least two light sources, determining 708 positions of the at least two objects relative to the at least two light sources in the image, obtaining 710 color information related to colors of the at least two objects, determining 712 a first color for a first light source of the at least two light sources and a second color for a second light source of the at least two light sources based on the color information and based on the determined relative positions and controlling 714 the first light source according to the first color and the second light source according to the second color, wherein the image comprises a third light source, and the method further comprises determining a third color for the third light source based on the first color and/or the second color, and controlling the third light source according to the third color.