Presence-Adaptive Lighting Atmosphere Control for Crowded Spaces
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Solution Overview
Problem
Advanced lighting systems struggle to adapt their dynamics and interactivity to the level of crowdedness in a monitored area, as excessive interactivity can overwhelm shoppers, especially in busy environments, leading to a negative experience.
Innovation Solution
A system that uses sensors, such as infra-red presence sensors or computer vision cameras, to detect the presence level in a supervised area and adjusts the lighting atmosphere by controlling the dynamics based on this level, reducing interactivity when the area becomes crowded, with the ability to set thresholds manually or automatically according to schedules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the level of dynamics and interactivity in the lighting atmosphere is increased to make the area more attractive, then the attractiveness and interest of the area is improved, but the lighting system may become overwhelming and create a negative experience when the area is crowded
Solution Approach 1:
The lighting system dynamically adjusts its behavior based on real-time detection of presence levels. When the area is uncrowded, the system provides high dynamics and interactivity to enhance attractiveness. When crowdedness is detected, the system automatically reduces dynamics and interactivity to prevent overstimulation. This dynamic adaptation allows the same lighting system to serve multiple functions under different conditions.
Solution Approach 2:
The system incorporates sensors (e.g., cameras, presence detectors) that continuously monitor the area and provide feedback on presence levels. This feedback loop enables the lighting control unit to detect when the area becomes crowded and automatically adjust the lighting atmosphere accordingly, reducing interactivity and dynamics when necessary to maintain a positive shopper experience.
2Adaptability or versatility
If the lighting system provides high interactivity and dynamics to engage customers, then customer engagement is improved, but the system complexity and sensor requirements increase
Solution Approach 1:
The lighting control unit serves multiple functions: it controls the lighting atmosphere for aesthetic purposes, processes sensor data to detect presence levels, and automatically adjusts system behavior based on detected conditions. By integrating these functions into a single control unit, the system achieves high interactivity and adaptability without proportionally increasing overall system complexity.
Solution Approach 2:
The lighting system automatically detects presence levels using integrated sensors and self-adjusts its behavior without requiring manual intervention or complex external control systems. The control unit autonomously processes sensor information and modifies lighting parameters, enabling the system to provide intelligent adaptability while keeping the control architecture relatively simple.
3Loss of energy
If the lighting system automatically adjusts based on presence detection, then energy efficiency is improved, but the measurement precision requirements for presence detection increase
Solution Approach 1:
The system adjusts lighting parameters (intensity, dynamics, interactivity) based on detected presence levels. By changing these parameters according to actual usage conditions, the system reduces energy consumption during periods of low or no presence while maintaining appropriate lighting levels during active periods. The control unit compares detected presence levels against thresholds to determine when to adjust parameters, enabling energy efficiency without requiring extremely high measurement precision.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively reduces the dynamics of lighting atmospheres in crowded areas, enhancing the shopping experience by avoiding overstimulation and improving the attractiveness of retail or hospitality environments by adapting lighting effects to the presence level, thereby improving customer satisfaction and energy efficiency.
Implementation Method 1
a grid of infra-red presence sensors
Implementation Method 2
a computer vision camera
Data Source
Figure 1
Figure 2
AI summary
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