Presence Simulator with Dynamic Scene Adaptation
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Solution Overview
Problem
Current presence simulators for deterring fraudsters are cumbersome to configure and fail to accurately represent the current use of premises, making them easily identifiable as simulated, thus compromising security.
Innovation Solution
A method and device that configure scenes for simulating presence by detecting movement and presence, quantifying detection indices, and refreshing them regularly to ensure the simulation aligns with actual usage patterns, allowing for automatic parameterization without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional presence simulators use fixed cyclic sequences of scenes, then the operation is simple to implement, but fraudsters can easily identify the simulation and security is compromised
Solution Approach 1:
The patent transforms fixed cyclic scenes into dynamic adaptive scenes that automatically adjust based on detected presence and movement patterns. The system continuously learns and modifies the sequence of scenes to reflect actual usage patterns, making the simulation unpredictable and effective against fraudsters while maintaining automated operation.
Solution Approach 2:
The system incorporates presence detectors and movement sensors that provide continuous feedback about actual occupancy patterns. This feedback loop allows the controller to automatically adjust the simulated presence patterns, ensuring they remain realistic and unpredictable without requiring manual reconfiguration.
2Ease of manufacture
If the sequence of scenes is updated manually during installation, then the configuration is straightforward, but the simulation becomes outdated when usage patterns change over time
Solution Approach 1:
The system performs self-configuration by automatically detecting presence and movement patterns and generating appropriate scene sequences without manual intervention. When usage patterns change, the system autonomously adapts the simulation parameters, eliminating the need for manual reconfiguration while maintaining ease of initial setup.
Solution Approach 2:
The system performs preliminary learning during an initial monitoring period to establish baseline presence patterns before activating the simulation mode. This preliminary action allows the system to pre-configure accurate scene sequences based on actual usage data collected in advance.
3Extent of automation
If presence simulation parameters are stored in memory, then the configuration can be replayed automatically, but the stored data becomes obsolete when actual usage changes
Solution Approach 1:
The patent implements dynamic parameter storage where the memory continuously updates with new detection data rather than storing static historical data. The system maintains a rolling window of presence patterns that automatically refreshes, ensuring the stored parameters always reflect current usage patterns while enabling continuous automated replay.
Solution Approach 2:
The system uses feedback from continuous presence detection to periodically refresh and update the stored parameters in memory. This ensures the automated replay uses current, accurate data while maintaining the automation benefit of automatic execution without manual intervention.
Data Source
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AI summary
The method (100) involves parameterizing scenes (102) during which desired state of controlled electrical apparatus is defined for each successive period of time. Detections of presence and/or movement of user in a zone of room are accounted (103) for each period of time, by quantifying a detection index. State of the electrical apparatus is decided (104) for each period of time by considering the accounted detections. Count of detections is refreshed (105) during which detection index is decreased for a period of time. An independent claim is also included for a luminary device.