Sensor System for Anonymized User Tracking in Buildings
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Solution Overview
Problem
Existing sensor systems for monitoring interior spaces in buildings lack the ability to provide user-specific and anonymized data on object tracking, which hinders optimization of interior furnishings and product display based on customer behavior.
Innovation Solution
A sensor system that combines a camera system with a user ID for terminal devices, using a central control and evaluation unit to link sensor signals to user IDs for object tracking, enabling anonymized categorization and generating user-specific output signals for optimizing interior spaces and product displays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor systems use camera systems to detect objects and persons in interior spaces, then monitoring capability is improved, but the ability to provide user-specific and anonymized data for optimization purposes deteriorates
Solution Approach 1:
The system segments users into different categories (e.g., customers, employees, visitors) and tracks objects separately for each category. This allows the system to maintain monitoring capability while providing user-specific data in an anonymized and organized manner, resolving the contradiction between general monitoring and specific actionable insights.
Solution Approach 2:
The system introduces an intermediary processing layer that receives sensor data, links it to user IDs, performs object tracking, and generates categorized output data. This intermediary structure enables the system to preserve user-specific information for optimization purposes while maintaining anonymity and proper categorization, thus resolving the information loss issue.
2Measurement precision
If the sensor system tracks individual users with user IDs, then user-specific information quality is improved, but user anonymity and data privacy deteriorate
Solution Approach 1:
The system applies different levels of data processing and anonymity to different user categories and contexts. Sensitive operations maintain higher anonymity while still providing sufficient detail for optimization purposes. This local differentiation allows the system to provide user-specific information where needed while preserving anonymity where required.
Solution Approach 2:
The system changes the level of detail and anonymity parameters based on the specific application context and user category. For example, it may provide detailed tracking for security purposes while providing aggregated anonymized data for commercial optimization, thus resolving the contradiction between precision and anonymity through parameter adjustment.
3Area of stationary object
If the camera system captures the entire sales room with multiple camera modules, then coverage area is improved, but system complexity increases
Solution Approach 1:
The system merges data from multiple camera modules into a unified coordinate system through triangulation. By combining the capabilities of multiple cameras and processing their data together, the system achieves comprehensive coverage while managing complexity through integrated processing rather than separate independent systems.
Solution Approach 2:
The system transitions from two-dimensional camera images to three-dimensional spatial understanding through triangulation calculations. This dimensional transformation allows the system to process data from multiple cameras efficiently by creating a unified 3D spatial model, reducing the complexity of managing multiple 2D video streams.
4Speed
If the system performs real-time object tracking and data processing, then responsiveness is improved, but computational resource consumption increases
Solution Approach 1:
The system performs object tracking and data processing selectively based on detected events and user categories rather than continuously processing all data at maximum detail. This partial action approach maintains responsiveness for critical operations while reducing overall computational resource consumption by adjusting processing intensity to actual needs.
Data Source
Figure 1~2
AI summary
The invention relates to a method for operating a sensor system (1) with a camera system (2) arranged in an interior space (3) of a building, which is designed to identify objects or persons in the interior space (3). Sensor signals from the camera system (2) are evaluated by a control and evaluation unit (7). A terminal device (8) is assigned to each user, and this terminal device is assigned a unique user ID. Based on signals from the camera system (2), the control and evaluation unit (7) tracks the terminal device (8) identified by the user ID. Output data is generated based on this tracking.