Automated Lighting Plan Generation via Image Rectification
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Solution Overview
Problem
Current methods for generating lighting plans for large area installations are time-consuming, costly, and prone to errors, as they require manual verification and are not suitable for indoor positioning systems, which demand accurate light unit positioning within 10 to 20 cm in X, Y, and Z dimensions.
Innovation Solution
A system and method that generate a lighting plan by combining overlapping images captured from different locations, using image rectification and data stitching to identify and classify light units, and their relative positions, allowing for the creation of a comprehensive map of light unit locations, which can be compared against a previous plan for commissioning or inspection purposes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual methods are used to generate lighting plans with paper templates and markers, then the process can be performed with simple tools, but the process becomes time-consuming and error-prone
Solution Approach 1:
The patent replaces manual mechanical processes (paper templates, markers, physical inspection) with an automated optical-digital system. A mobile device captures images of light units, and image processing algorithms automatically generate lighting plans, eliminating the need for manual paper-based workflows and significantly reducing time consumption while maintaining simplicity through software-based operation.
2Ease of manufacture
If manual inspection methods are used to verify lighting plans, then the inspection process can be performed with basic tools, but the process becomes prone to mistakes and inefficiencies
Solution Approach 1:
The patent replaces manual visual inspection with automated image recognition technology. The system captures images of installed light units and uses processing algorithms to automatically verify their positions, quantities, and statuses against the lighting plan, eliminating human error and improving inspection reliability while keeping the process simple through automated workflows.
Solution Approach 2:
The patent creates a digital copy of the physical lighting installation through image capture and processing. This digital representation allows for accurate comparison and verification against the planned lighting design, enabling reliable inspection without manual measurement and reducing mistakes through automated data matching.
3Ease of operation
If conventional positioning methods are used for light units, then the installation process can be straightforward, but the positioning accuracy cannot meet the 10 to 20 cm requirement for indoor positioning systems
Solution Approach 1:
The patent replaces conventional manual positioning methods with automated optical measurement and image processing. The system captures images with known camera parameters and uses coordinate transformation algorithms to precisely determine light unit positions in 3D space, achieving 10-20 cm accuracy for indoor positioning while maintaining ease of operation through automated processing.
Solution Approach 2:
The patent transitions from 2D image coordinates to 3D spatial positioning by incorporating camera parameters and performing coordinate transformations. This dimensional conversion enables precise three-dimensional localization of light units, meeting the accuracy requirements for indoor positioning systems while keeping the installation process straightforward through automated computation.
Data Source
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AI summary
A lighting plan generator configured to generate a lighting plan comprising a map of locations of a plurality of light units located on a ceiling of an interior space, the lighting plan generator being configured to generate the lighting plan from overlapping images captured by a mobile device from different locations as the mobile device moves through the interior space. The lighting plan generator comprises: an input configured to receive at least two images, the at least two images comprising at least partially overlapping areas; an image rectifier (160) configured to rectify the at least two images; an image data combiner (406) configured to combine data from the rectified at least two images, wherein a lighting plan (413, 415) is generated from the combined data from the rectified at least two images.