Dynamic Light Effect Control via Image Color Extraction
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Solution Overview
Problem
Current methods for generating dynamic light effects in lighting devices require users to manually select multiple colors, which is tedious and lacks intuitive control, especially when aiming for a seamless transition.
Innovation Solution
A method that receives an image, selects areas and sub-areas within it based on specific criteria, extracts color values from these areas, and controls lighting devices to render a dynamic light effect, allowing for automatic and intuitive color selection and transition management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a user manually selects multiple colors to generate a dynamic light effect, then the light effect can be customized, but the operation becomes tedious and time-consuming
Solution Approach 1:
The system automatically extracts colors from an image provided by the user, eliminating the need for manual color selection. The lighting device serves itself by generating the color sequence from the image data, making the process self-serve and intuitive while maintaining customization capabilities
Solution Approach 2:
The user provides an image in advance that contains the desired color palette. The system then automatically processes this pre-provided image to extract colors and generate the dynamic light effect sequence, performing the color selection action beforehand rather than requiring real-time manual input
2Extent of automation
If fully random colors are picked from an image, then automated control is achieved, but undesirable light effects are produced
Solution Approach 1:
Instead of treating the entire image uniformly, the system focuses on extracting colors from specific areas of the image that are most representative or visually significant. This localized approach ensures that the extracted colors produce desirable light effects while maintaining automation
Solution Approach 2:
The system adjusts parameters such as color selection criteria, area of interest detection, and extraction algorithms to optimize the quality of extracted colors. By changing these parameters based on image characteristics, the system achieves reliable and visually appealing light effects automatically
Data Source
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AI summary
A method is provided for controlling one or more lighting devices to generate a dynamic light effect based on an image. A first area in the image is selected based on first selection criteria (e.g. object recognition). Within this first area, a sequence of sub-areas (260, 262, 264) are selected based on second selection criteria (e.g. zooming in to a recognized object). Color values are extracted from each sub-area and the one or more lighting devices are controlled based on the extracted color values.