Retail Lighting Control System with Visitor Tracking
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Solution Overview
Problem
Conventional retail lighting systems are static and require manual adjustments, which are costly and labor-intensive, failing to provide dynamic and engaging lighting experiences that can attract customers, especially in environments like pop-up stores where frequent changes are necessary to maintain interest.
Innovation Solution
A lighting control system that uses sensors to detect visitor presence and identity, and adjusts lighting effects based on the number of visits, allowing for automatic and dynamic changes to create a new experience for individual or collective visitors, incorporating historical data to tailor lighting effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual adjustments to lighting systems are performed to create dynamic lighting effects, then the shopping experience becomes more engaging and attractive to customers, but the cost and labor intensity increase significantly
Solution Approach 1:
The lighting system automatically adjusts lighting effects based on sensor data about visitor presence, identity, and visit frequency. The system serves itself by making lighting decisions without human intervention, using pre-configured lighting scenarios and automated visitor tracking to dynamically change lighting effects in the retail space.
Solution Approach 2:
The system changes lighting parameters such as intensity, color temperature, and illumination patterns based on visitor characteristics and visit history. Different lighting scenarios are applied automatically depending on whether visitors are new or returning customers, thereby achieving lighting variability without manual operation.
2Adaptability or versatility
If lighting design is updated frequently to maintain customer interest, then the shopping experience remains surprising and engaging, but the time and resources required for manual redesign increase
Solution Approach 1:
Multiple lighting scenarios and configurations are pre-configured in the system before deployment. When a visitor is identified and their visit frequency determined, the system automatically selects and applies the appropriate pre-prepared lighting scenario, eliminating the need for real-time lighting design decisions and rapid manual reconfiguration.
Solution Approach 2:
The system continuously receives feedback from sensors about visitor presence, identity, and visit history. This feedback loop enables the system to automatically adapt lighting effects in real-time based on actual visitor patterns, replacing the need for periodic manual lighting audits and adjustments.
3Extent of automation
If automated lighting changes are implemented to reduce manual intervention, then operational effort is reduced, but the system complexity increases
Solution Approach 1:
The lighting control system performs multiple functions: it tracks visitor identity, determines visit frequency, selects appropriate lighting scenarios, and executes lighting changes. By consolidating these functions into a single multi-functional system, the patent reduces overall system complexity compared to having separate systems for each function.
Solution Approach 2:
The controller acts as an intermediary between the sensor system and the lighting units. It processes sensor data about visitors and automatically translates this information into appropriate lighting effect selections, thereby automating the lighting control process while managing system complexity through a centralized coordination point.
4Ease of operation
If static lighting design is used to simplify system management, then operational complexity is reduced, but the shopping experience becomes boring and repetitive
Solution Approach 1:
The lighting system transitions from a static, fixed configuration to a dynamic system that automatically adjusts lighting effects based on real-time sensor data about visitors. The lighting parameters change dynamically according to visitor presence, identity, and visit history, providing variety while maintaining automated management through pre-configured scenarios.
Data Source
Figure 1~2
AI summary
A lighting system controller comprises a controller for controlling an arrangement of lighting units for implementing different lighting effects. A sensor is used to identify a visitor and also to count the number of visits of the visitor which have taken place, for example while the same lighting effect has been in place. A change in the lighting effect is made based on the number of visits of one or more visitors, again for example with the same lighting effect. In this way, the lighting effect is changed automatically when it needs to be changed in order to maintain the interest of visitors (either individually or as a collective group).