Lighting Sensor Configuration via Image Analysis
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Solution Overview
Problem
The configuration of sensors in lighting systems is cumbersome, requiring trial and error to ensure correct positioning and sensitivity for effective automated control, which is time-consuming and complex for both consumers and professionals.
Innovation Solution
A method that uses image analysis to identify target areas and map suitable sensor locations, allowing for automatic or manual input of sensor positions based on captured images, enabling efficient configuration of lighting systems by determining the most appropriate placement for occupancy and light sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual configuration and trial-and-error adjustment of sensor positions and sensitivity is used, then the sensing function can be customized to specific needs, but the configuration process becomes time-consuming and complex
Solution Approach 1:
The patent replaces manual mechanical configuration processes with automated image processing and analysis. Instead of physically adjusting sensors and performing walk-tests, the system uses captured images to automatically determine optimal sensor positions and sensitivity settings through digital image analysis and processing algorithms.
Solution Approach 2:
The system enables self-service configuration by automatically analyzing captured images to identify target areas, determine sensor locations, and configure sensing parameters without requiring user expertise or iterative manual adjustment. The configuration process serves itself by using the image data to directly generate sensor settings.
2Measurement precision
If multiple walk-tests and manual adjustments are performed to ensure correct sensor positioning, then sensing accuracy can be improved, but the configuration complexity increases
Solution Approach 1:
The patent performs preliminary action by capturing images during the configuration phase to pre-determine sensor positions and sensitivity settings. This preliminary image capture and analysis eliminates the need for subsequent walk-tests and manual adjustments, as the optimal configuration is established before the system enters operational mode.
Solution Approach 2:
The system substitutes manual trial-and-error adjustment processes with automated image processing algorithms that calculate optimal sensor positions and sensitivity. This replacement transforms a complex iterative manual process into a streamlined automated computation based on image analysis.
3Reliability
If professional installers perform detailed sensor configuration, then sensing performance can be optimized, but the process becomes cumbersome and less accessible to consumers
Solution Approach 1:
The patent implements self-service configuration where the system automatically analyzes captured images to determine sensor positions and sensitivity without requiring installer expertise. This empowers end-users to perform configuration themselves by simply capturing images, eliminating the need for professional installers while maintaining optimal sensing performance.
Solution Approach 2:
The system replaces the mechanical expertise and manual judgment of professional installers with automated image processing algorithms. The algorithms objectively analyze the captured images to determine optimal sensor configuration, providing consistent and reliable results without requiring human expertise in sensor positioning and sensitivity adjustment.
Data Source
AI summary
A method for configuring a lighting system including one or more sensors for controlling one or more lighting units for providing illumination of an area. The method allows a target area to be determined for a particular sensing function, and then determines suitable sensor locations based on a mapping derived from an image of the area in question. The target area can be determined based on recognition of relevant objects such as doors and window for example. The sensor location or locations may be selected from existing sensor locations which may be integrated with a luminaire, or new sensor locations may be proposed.