Smart Home Sensor Fusion for Intrusion Detection and Response
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Solution Overview
Problem
Conventional security systems are inadequate in detecting property intrusion events, especially in unoccupied properties, as they do not account for various methods of unlawful access and lack dynamic response mechanisms.
Innovation Solution
A computer-implemented method and hardware controller system that analyzes sensor data from connected devices within a property to detect intrusion events by comparing received data to baseline sensor data, generating notifications, and facilitating mitigating actions, such as activating alarms or notifying authorities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional security systems are used, then device complexity is reduced, but detection precision and reliability of intrusion events deteriorate
Solution Approach 1:
The system segments the intrusion detection function into multiple independent sensor components (motion sensors, door sensors, window sensors, environmental sensors) that work together to provide comprehensive detection. Each sensor type detects specific aspects of potential intrusions, and the controller integrates these segmented detections to form a complete security assessment.
Solution Approach 2:
The controller serves multiple functions: it receives data from various sensor types, analyzes the data for intrusion patterns, generates notifications, and enables remote mitigation actions. This multi-functional approach consolidates what would otherwise require separate systems into a single integrated device.
2Speed
If conventional security systems are used, then device complexity is reduced, but response speed to intrusion events deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-configuring response protocols and maintaining continuous monitoring readiness. When an intrusion is detected, pre-programmed notification sequences and mitigation protocols are immediately activated, eliminating delays associated with manual response decisions.
Solution Approach 2:
The system implements continuous feedback loops where sensor data is constantly analyzed and compared against intrusion patterns. This real-time feedback mechanism enables immediate detection and response to changing conditions, with the controller continuously adjusting its monitoring based on incoming data streams.
3Measurement precision
If comprehensive sensor analysis is implemented, then detection precision improves, but use of energy increases
Solution Approach 1:
The system employs periodic sampling of sensor data rather than continuous full-power processing. Sensors take measurements at defined intervals, and the controller analyzes data in periodic batches, reducing energy consumption while maintaining detection precision through strategic sampling of motion, environmental, and security sensor readings.
Data Source
AI summary
The present embodiments relate to identifying property intrusion events based upon sensor data received from smart devices populated about a home. A smart home controller may compare the sensor data to baseline sensor data to dynamically identify an intrusion event that may be occurring. The controller may generate a notification and determine an action to perform to facilitate damage or risk mitigation. Accordingly, an individual associated with the home may be notified of the event, and then select to perform the action, such as via their mobile device. In some implementations, the controller may automatically perform the action. As a result, in response to computer identification of an intrusion event, corrective action may be taken or prompted, or otherwise any damage caused by the intrusion event may be mitigated, reducing insurance claims or claim amounts associated with intrusion events. Insurance discounts may be provided based upon the risk mitigation functionality.