Centralized Smart Home Threat Analysis Network
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Solution Overview
Problem
Current smart home systems are inadequate in identifying and responding to potential threats, as criminals often evade detection and security systems, leading to ongoing property-related crimes.
Innovation Solution
A system comprising a central system communicating with multiple smart home systems and user devices to analyze data from security devices and user inputs, consult expert databases, and initiate security actions when a potential threat is confirmed, involving neighboring smart home systems and authorities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional smart home security systems are used, then basic monitoring is provided, but criminals can evade detection and security systems
Solution Approach 1:
The patent combines multiple smart home security systems into a networked community-wide system. Individual smart home systems are merged to share threat information through a central server, creating a collective security network that improves detection reliability without significantly increasing individual system complexity
Solution Approach 2:
The central server performs multiple functions including receiving notifications from multiple smart home systems, analyzing threat data, consulting expert systems, and distributing alerts. This multi-functional approach consolidates complexity into a single universal platform rather than requiring each individual system to handle all functions
2Measurement precision
If a centralized system analyzes data from multiple smart home systems, then threat identification accuracy improves, but system complexity and data processing requirements increase
Solution Approach 1:
The central server acts as an intermediary between multiple smart home systems and expert systems. It receives notifications, performs initial data consolidation and analysis, then queries external expert systems when threats are detected. This intermediary role simplifies the architecture by centralizing complex processing tasks rather than distributing them across multiple systems
Solution Approach 2:
The system performs preliminary analysis of notification data at the central server before escalating to full threat confirmation. By pre-processing and filtering data from multiple sources, the system reduces the complexity of final threat analysis and minimizes the need for complex expert system consultations
3Reliability
If expert data and criminal databases are consulted, then threat confirmation reliability improves, but information processing time increases
Solution Approach 1:
The system applies partial action by consulting expert systems and criminal databases only when initial analysis indicates a potential threat, rather than querying these resources for every notification. This selective approach maintains high reliability for confirmed threats while minimizing unnecessary processing time for benign cases
Data Source
AI summary
Systems and methods for identifying and responding to a potential threat at a location monitored by a smart home system are provided. Such systems and methods can include a central system receiving a notification of a suspicious incident detected at the location and current data related to the suspicious incident from the smart home system, the central station analyzing the current data to confirm or reject the suspicious incident, when the central system confirms the suspicious incident, the central station determining whether the current data is indicative of a potential threat, and when the central station determines that the current data is indicative of the potential threat, the central station storing the current data for future use and initiating a security action to alleviate the potential threat.