Intruder Detection via Behavior Model Verification
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Solution Overview
Problem
Current smart home security systems rely on single devices for intruder detection, which can result in blind spots and false alarms due to environmental changes or disguises, and may not accurately verify authorized individuals.
Innovation Solution
A method involving a security server that sends a verification prompt to devices in a controlled-access area, comparing entrant behavior information to a behavior model of authorized persons, generating an intruder indication if the behavior does not match, and conserving resources by only processing unmatched identities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single device or sensor is used for intruder detection, then the system is simple and cost-effective, but it creates blind spots and generates false alarms due to environmental changes or disguises
Solution Approach 1:
The patent combines multiple devices (camera, fingerprint reader, door lock, motion sensors) into a unified security system that collaboratively monitors the controlled-access area. These devices merge their detection capabilities to eliminate blind spots and cross-validate intruder identification, thereby improving reliability without proportionally increasing system complexity.
Solution Approach 2:
The security server performs multiple functions including receiving data from various devices, analyzing behavior patterns, comparing against authorized person profiles, and coordinating different security devices. This multi-functional approach consolidates what would otherwise require separate systems, improving detection reliability while managing complexity through a centralized platform.
2Measurement precision
If behavior verification is performed for all entrants, then verification accuracy improves, but processing resources are consumed unnecessarily for authorized individuals
Solution Approach 1:
The system performs preliminary identification using readily available device data (camera images, entry timing, entry location) before initiating full behavior verification. This preliminary screening quickly identifies obviously authorized persons, allowing the system to skip intensive behavior analysis for them while maintaining high verification accuracy for suspicious entrants, thereby optimizing resource usage.
Solution Approach 2:
The system uses feedback from preliminary identification results to dynamically adjust the verification process. When preliminary data strongly indicates an authorized person, the system reduces verification intensity; when there's uncertainty or mismatch, it triggers comprehensive behavior pattern analysis. This feedback-driven approach maintains measurement precision while minimizing unnecessary resource consumption.
Data Source
AI summary
An intruder detection method is provided, comprising a security server sending a verification prompt to a device in a controlled-access area, based on an entry indication of an entrant into the controlled-access area, with the verification prompt indicating the entrant should perform a predefined verification action, the security server receiving entrant behavior information, the security server comparing the entrant behavior information to a behavior model of a set of authorized persons associated with the controlled-access area, with the behavior model including the verification prompt, and the security server generating an intruder indication if the entrant behavior information does not match a behavior sequence included in the behavior model.