Lighting Design Platform With Digital Fixture Matching and Aesthetic Filters
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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 uses automated search engines, data structures, and machine learning to coordinate the design, acquisition, installation, and operation of lighting installations, including a lighting object library, aesthetic filters, and near-field illumination characterization systems for precise lighting effect matching and control.
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 replicas (photorealistic renderings) of physical lighting samples that can be viewed remotely. The system captures images of physical lighting effects and stores them in a database, allowing designers to evaluate lighting products through high-fidelity digital copies rather than traveling to physical sample locations, thereby reducing evaluation time from days/weeks to minutes while maintaining visual accuracy.
Solution Approach 2:
The system pre-captures and stores photorealistic images of lighting effects from multiple angles and conditions in advance. When a designer needs to evaluate a lighting product, the pre-prepared digital representations are immediately available for review, eliminating the need for on-site physical sample evaluation and enabling rapid decision-making.
2Loss of information
If designers travel to sample closets to characterize lighting fixtures, then they can evaluate product properties firsthand, but comparisons between products are unscientific and designers are unaware of better products
Solution Approach 1:
The system creates a universal digital platform that aggregates lighting product information from multiple sources (physical samples, manufacturer data, user submissions) into a single accessible database. The photorealistic rendering system provides a standardized method for viewing and comparing any lighting product regardless of its physical location, enabling consistent scientific comparison across diverse product lines that would otherwise require separate evaluation trips.
Solution Approach 2:
The patent introduces a digital intermediary system (the platform with photorealistic rendering capability) that mediates between physical lighting products and designers. This intermediary captures, standardizes, and presents lighting information in a consistent digital format, replacing the need for designers to physically travel to and manually evaluate each product, thereby enabling more comprehensive and systematic product discovery and comparison.
3Adaptability or versatility
If lighting fixtures are made intelligent with IoT capabilities, then they can be controlled remotely and communicate with other devices, but most installations do little to take advantage of this intelligence due to market fragmentation and designer expertise gaps
Solution Approach 1:
The platform enables lighting fixtures to effectively self-demonstrate their capabilities through photorealistic renderings and detailed digital profiles. The system automatically captures and presents information about smart lighting features, control capabilities, and integration options, allowing designers to understand and utilize intelligent features without requiring deep technical expertise or extensive product research.
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.