Automated Lighting Design Selection via Image Analysis
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Solution Overview
Problem
Current methods for selecting lighting device designs online require users to browse through catalogs, compare designs, and often necessitate the involvement of a lighting specialist, lacking an intuitive and user-centric approach for simulating lighting in different scenes.
Innovation Solution
A method that allows users to input a model or image of a lighting device design, analyze its parameters, and generate or select a design based on user preferences, including position, type, color, and lighting properties, using a graphical user interface to visualize the design in a scene, enabling users to interactively choose or generate lighting device designs that match their preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users browse through catalogs to select lighting device designs, then users can view available options, but the selection process becomes time-consuming and complex
Solution Approach 1:
The system performs automatic image analysis and lighting device recommendation without requiring user intervention in the analysis process. The computational system autonomously processes uploaded images, extracts scene characteristics, and generates recommendations, allowing users to simply upload an image and receive results without manual browsing or comparison tasks.
Solution Approach 2:
The patent replaces the manual mechanical process of browsing catalogs and comparing designs with an automated computational image analysis system. The system uses computer vision algorithms to automatically analyze scene images, extract relevant features, and recommend suitable lighting devices, substituting human manual evaluation with automated computational processing.
2Measurement precision
If lighting specialists are involved in selecting lighting device designs, then selection accuracy improves, but the process becomes more complex and less user-independent
Solution Approach 1:
The system empowers users to independently perform lighting device selection through automated image analysis. The computational system acts as an intelligent assistant that autonomously analyzes scene characteristics and provides recommendations without requiring specialist intervention, making the selection process user-independent while maintaining high accuracy through advanced algorithms.
Solution Approach 2:
The system transforms the selection process by changing from manual specialist evaluation to automated computational analysis. It extracts multiple scene parameters (illumination levels, spatial dimensions, object characteristics) and processes them through algorithms to determine optimal lighting device recommendations, replacing human expert judgment with systematic computational parameter analysis.
3Loss of information
If users manually compare lighting device designs, then users can make informed selections, but the process lacks intuitiveness and user-centric approach
Solution Approach 1:
The patent replaces manual comparison processes with automated computational image analysis. The system uploads scene images, automatically extracts relevant characteristics, and generates context-aware lighting device recommendations, eliminating the need for users to manually compare designs while providing comprehensive information through visual scene analysis.
Solution Approach 2:
The system introduces an intermediary computational analysis layer between the user and lighting device selection. This intermediary automatically processes scene images, extracts meaningful characteristics, and translates them into tailored lighting device recommendations, serving as an intelligent mediator that bridges user needs with appropriate product selections without requiring direct user comparison efforts.
Data Source
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AI summary
The present invention relates to assisting a user in selecting a lighting device design by providing a lighting device design based on a model or image of a lighting device design (e.g. the user uploading an image of an existing lighting device in his/her home). The lighting device design of the model or image is analyzed in order to determine a lighting device design related variable (e.g. type, shape or color of lighting device design). This variable is then used to select a lighting device design from a set of lighting device designs (e.g. to select a lighting device design of the same color, from an electronic catalogue of lighting device designs); or to generate a lighting device design (e.g. to generate a lighting device design that is a copy of the lighting device design in the image, only smaller and in a different color). The invention further includes a system and computer program product for implementation of this method.