Image Analysis for Modular Light Unit Arrangement
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Solution Overview
Problem
Consumers face difficulty in selecting and arranging modular lighting systems to achieve desired lighting experiences due to the complexity of choosing the right shape and arrangement of light modules, especially with the rise of advanced LED, connectivity, and modular lighting arrays.
Innovation Solution
A system and method that uses image analysis from a camera to determine surface properties, such as dimensions and orientation, to assist users in selecting suitable surfaces and arranging light units, including determining the quantity, type, and arrangement of light modules based on these properties, and providing augmented reality visualizations to help users place the modules effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If modular lighting arrays with multiple light modules in different shapes are used, then lighting versatility and experience are improved, but device complexity and difficulty of selection increase
Solution Approach 1:
The system creates a virtual copy of the physical environment by capturing images with a camera and performing image analysis to determine surface properties. This virtual representation allows users to visualize and test different light module arrangements without physical trial-and-error, simplifying the selection process while maintaining versatility.
Solution Approach 2:
The system introduces an intermediary software layer that bridges the user and the complex lighting hardware. By processing images and generating recommended arrangements through algorithms, this intermediary translates user needs into specific light module configurations, reducing the perceived complexity.
2Adaptability or versatility
If multiple light modules can be placed in different arrangements, then lighting design flexibility is improved, but ease of operation and selection difficulty worsen
Solution Approach 1:
The system performs self-service by automatically analyzing uploaded images, determining surface properties, and generating arrangement recommendations without requiring user input for each decision. This automation handles the complex selection process, making the system easy to operate while maintaining high flexibility.
Solution Approach 2:
The system performs preliminary actions by pre-processing images to extract surface dimensions, orientation, and other properties before generating arrangement recommendations. This preliminary analysis prepares all necessary information in advance, enabling the system to provide immediate and accurate arrangement suggestions without user effort.
3Measurement precision
If image analysis is used to determine surface properties, then selection accuracy is improved, but processing time and system complexity increase
Solution Approach 1:
The system applies partial action by focusing image analysis only on the specific surface properties needed for lighting arrangement (such as surface dimensions and orientation) rather than analyzing every detail of the entire environment. This selective analysis achieves sufficient precision for the application while minimizing processing time.
Data Source
AI summary
A system (1) is configured to obtain one or more images captured by a camera and perform image analysis on the one or more images to determine one or more surface properties, including surface dimensions, of one or more surfaces in an environment captured by the one or more images. The system is further configured to select a surface (63) on which a plurality of light units can be placed together based on the surface dimensions. The surface is selected from the one or more surfaces. The system is also configured to determine an arrangement (67) of the plurality of light units on the surface based at least on the surface dimensions of the surface and use at least one output interface (9) to output the arrangement.