Automated Luminaire Selection via Visual Site Analysis
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Solution Overview
Problem
Current luminaire design retrofitting methods are time-consuming and not user-friendly, often requiring manual input of extensive parameters and potentially overlooking important site information, making them inefficient for non-initiated users.
Innovation Solution
A computer-controlled method that uses visual representations of lighting sites to extract luminaire installation characteristics, compares them to a database of luminaire designs, and filters based on suitability, regulation, and availability, providing a user-friendly and modular approach to selecting suitable luminaire designs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual parameter input method is used to determine luminaire design, then comprehensive parameter coverage can be achieved, but the process becomes time-consuming and complex
Solution Approach 1:
The patent replaces the manual mechanical input process with an automated image processing system. The system captures images of the lighting site and automatically extracts luminaire installation characteristics through computer vision algorithms, eliminating the need for manual parameter entry while maintaining comprehensive data collection.
Solution Approach 2:
The system enables self-service by automatically extracting installation characteristics from images without requiring user intervention. The image processing system autonomously identifies and extracts parameters such as mounting height, spacing, and orientation, allowing the process to serve itself rather than relying on manual input.
2Manufacturing precision
If extensive parameter list is provided manually, then thorough luminaire design analysis can be achieved, but the method becomes difficult for non-initiated users
Solution Approach 1:
The patent replaces the complex manual parameter input interface with an automated image-based system. Users simply capture or upload images of the lighting site, and the system automatically processes these images to extract all necessary installation characteristics, eliminating the need for users to understand or manually input extensive technical parameters.
Solution Approach 2:
The image serves as an intermediary between the user and the complex parameter extraction process. Instead of directly interacting with numerous technical parameters, users interact with the simple image capture interface, while the image processing system acts as an intermediary to automatically translate the image into comprehensive installation characteristics.
3Adaptability or versatility
If manual parameter adjustment is performed to match existing products, then product availability constraints can be considered, but the process becomes even more time-consuming
Solution Approach 1:
The system incorporates feedback mechanisms that automatically compare extracted installation characteristics with available luminaire products in the database. When mismatches are identified, the system provides feedback to suggest alternative products that meet the site requirements, eliminating the need for manual parameter adjustment and iteration.
Solution Approach 2:
The system performs preliminary actions by pre-loading a database of available luminaire products with their specifications. Before the user even inputs site information, the system has already prepared the product catalog and can immediately begin matching extracted installation characteristics with suitable products, significantly reducing iteration time.
Data Source
AI summary
A method for retrofitting a lighting site. The lighting site includes at least one pathway. The method comprises: obtaining at least one visual representation of the lighting site to be retrofitted, said lighting site corresponding to a location for installing at east one luminaire; extracting, from the at least one visual representation, at least one luminaire installation characteristic; obtaining, based on the at least one luminaire installation characteristic and a database with a plurality of luminaire designs, a list comprising at least one luminaire design of said plurality of luminaire designs, said at least one luminaire design being suitable for being installed at the lighting site.