Lighting Design Platform Using Digital Fixture Characterization
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Solution Overview
Problem
Current lighting design workflows are inefficient due to a fragmented market with limited and inaccurate information about lighting products, leading to suboptimal results and underutilization of intelligent lighting features in installations.
Innovation Solution
A platform that utilizes automated search engines, machine learning, and near-field illumination characterization to facilitate the design, acquisition, installation, and operation of lighting installations, including a visual representation of lighting spaces, aesthetic filters, and data structures to match lighting objects with desired illumination patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If designers use physical samples to evaluate lighting products, then they can directly observe lighting effects, but the process takes days or weeks and produces suboptimal results
Solution Approach 1:
The patent creates digital copies (photographs and 3D models) of physical lighting samples that capture their optical properties. These digital representations can be stored, transmitted, and evaluated without requiring physical presence, enabling rapid comparison and selection of lighting products while preserving the ability to assess lighting effects accurately.
Solution Approach 2:
The system performs preliminary characterization of lighting products by capturing photographs and extracting optical properties before the design evaluation process begins. This pre-processing creates a database of lighting characteristics that can be quickly queried and compared during design work, eliminating the need for time-consuming on-site physical evaluations.
2Loss of information
If designers travel to sample closets to characterize lighting fixtures, then they can evaluate products in person, but the process is inefficient and limits access to product information
Solution Approach 1:
The patent introduces photographs and digital images as intermediaries between the lighting products and designers. These images serve as carriers of optical property information that can be transmitted electronically, allowing designers to access comprehensive product information remotely without traveling to physical sample locations.
Solution Approach 2:
The system replaces the mechanical process of physical travel and in-person evaluation with automated image capture and digital processing. Cameras and computers substitute for human eyes and physical movement, enabling remote access to lighting product characteristics through electronic transmission of visual data.
3Adaptability or versatility
If the lighting market remains fragmented with multiple suppliers, then product variety increases, but information accuracy and completeness deteriorate
Solution Approach 1:
The patent creates a universal photograph-based representation system that works across all lighting product types and suppliers. By standardizing the capture of optical properties through photographs and consistent image analysis methods, the system provides a common language for evaluating diverse lighting products from multiple vendors, maintaining product variety while ensuring information accuracy.
Data Source
AI summary
A platform for design of a lighting installation generally includes an automated search engine for retrieving and storing a plurality of lighting objects in a lighting object library and a lighting design environment providing a visual representation of a lighting space containing lighting space objects and lighting objects. The visual representation is based on properties of the lighting space objects and lighting objects obtained from the lighting object library. A plurality of aesthetic filters is configured to permit a designer in a design environment to adjust parameters of the plurality of lighting objects handled in the design environment to provide a desired collective lighting effect using the plurality of lighting objects.