Non-Imaging Sensor Validation for IoT Remote Surveillance Alerts
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing home monitoring systems face challenges in accurately distinguishing between false and real alerts due to the lack of camera installation in all areas, leading to increased cognitive load and reduced user engagement, as users receive non-intuitive textual alerts without visual context.
Innovation Solution
A system and method for remote surveillance in an IoT environment that uses non-imaging sensors to detect entities and IoT device states, determines trigger conditions, and generates a virtual visual representation of events, distinguishing between false and real alerts using AI models to provide accurate surveillance data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cameras are installed at every location to enable monitoring, then monitoring coverage is improved, but installation complexity and cost increase
Solution Approach 1:
The patent replaces the mechanical/optical surveillance system (cameras) with a sensor-based detection system. Non-imaging sensors such as motion sensors, audio sensors, and environmental sensors are deployed to detect events and entities, eliminating the need for comprehensive camera installation while maintaining monitoring capability.
Solution Approach 2:
The patent creates a virtual visual representation that copies and reconstructs the physical scene based on sensor data. This virtual model allows users to visualize events without requiring physical cameras at every location, effectively substituting direct optical observation with data-driven visualization.
2Productivity
If textual alerts are generated for events, then alert generation is simple, but user understanding and engagement decrease
Solution Approach 1:
The patent transforms one-dimensional textual alerts into multi-dimensional visual representations. The system generates virtual visual representations that incorporate spatial, temporal, and contextual dimensions, allowing users to comprehend events more intuitively without sacrificing alert generation efficiency.
3Reliability
If motion alerts are generated without visual context, then false alarms increase, but system simplicity is maintained
Solution Approach 1:
The patent merges multiple sensor types (motion sensors, audio sensors, environmental sensors) and their data streams into a unified event detection and validation system. This integrated approach allows cross-validation of events across different sensor modalities, reducing false alarms while maintaining reasonable system complexity.
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously refines its event detection algorithms based on patterns learned from sensor data. The virtual visual representation system provides feedback to users about detected entities and events, allowing for iterative improvement of alert accuracy without proportionally increasing system complexity.
Data Source
AI summary
A method and system for remote surveillance in an IoT environment is disclosed. The method includes detecting one or more trigger conditions associated with occurrence of an event at a location within the IoT environment, wherein the one or more trigger conditions are associated with an event criteria; detecting one or more entities associated with the event that are present at the location using one or more non-imaging sensors; determining operational states of one or more IoT devices at the location at a time of detecting the one or more entities; determining whether the one or more trigger conditions is a false trigger condition based on a correlation of the one or more entities and the operational states of the one or more IoT devices; and modifying the event criteria based on a determination that the one or more trigger conditions is the false trigger condition.