Lighting Fixture Orientation Control via 3D Model Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for accurately determining and controlling lighting fixture arrangements in venues are time-consuming, require skilled technicians, and are prone to human error, especially when setting up focus palettes and directing lighting beams, due to the need for precise measurements and expert knowledge.
Innovation Solution
A system that uses a user device paired with a three-dimensional model space to indicate and convert lighting beam destinations into coordinates, determining the necessary orientation and controlling motor movements to accurately position lighting fixtures without the need for expensive tools or expert knowledge, utilizing cameras and electronic processors for precise alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional measurement tools and techniques are used to determine lighting fixture position and orientation, then measurement precision can be achieved, but the setup time increases significantly and requires specialized technicians
Solution Approach 1:
The patent replaces traditional mechanical measurement tools (tape measures, levels, protractors) with an electronic system using mobile devices, cameras, and image processing algorithms to automatically capture and analyze lighting fixture positions and orientations, eliminating manual measurement processes
Solution Approach 2:
The system enables lighting fixtures to self-calibrate by automatically capturing images of reference objects and calculating their own position and orientation data through image processing, without requiring external measurement intervention
2Measurement precision
If traditional measurement methods are used, then position accuracy can be achieved, but device complexity and requirement for specialized equipment increases
Solution Approach 1:
The patent uses inexpensive, widely available mobile devices (smartphones, tablets) with built-in cameras and processors instead of expensive specialized measurement equipment, making the system accessible without requiring specialized tools
Solution Approach 2:
The system uses universal mobile devices that can perform multiple functions (capture images, process data, calculate positions, control lighting fixtures) rather than requiring separate specialized equipment for each measurement task
3Measurement precision
If manual adjustment of lighting fixtures is performed, then positioning accuracy can be achieved, but productivity decreases due to time-consuming processes
Solution Approach 1:
The system captures images of the actual lighting beam position, compares it with the desired position, and provides feedback for automatic adjustment of lighting fixture orientation to minimize manual trial-and-error adjustment cycles
Solution Approach 2:
The system pre-calculates the optimal position and orientation of lighting fixtures based on captured images and venue layout before physical setup, allowing technicians to directly install fixtures at correct positions without iterative adjustment
4Reliability
If traditional calibration processes are used, then reliability can be achieved, but the process becomes prone to human error
Solution Approach 1:
The patent replaces manual calibration operations with automated image processing and computer vision algorithms that objectively measure lighting fixture positions and orientations, eliminating subjective human judgment and measurement errors
Solution Approach 2:
The system performs self-calibration by automatically capturing reference objects, calculating transformation matrices, and adjusting lighting fixture parameters without requiring operator intervention or expertise in calibration procedures
Data Source
AI summary
Methods and systems are provided for directing a lighting fixture in a venue. A user device is paired with a three-dimensional model space that represents a physical space of the venue. A lighting beam destination is indicated with the user device using a position and an orientation of the user device. The indicated lighting beam destination is converted into coordinates in the three-dimensional model space. A lighting fixture orientation value to direct a lighting beam of the lighting fixture to the lighting beam destination in the physical space of the venue is determined based on the coordinates of the lighting beam destination in the three-dimensional model space of the venue. A motor associated with the lighting fixture is actuated to move the lighting fixture to a lighting fixture orientation in the physical space of the venue based on the lighting fixture orientation values.