Alert Assignment to Sensor Analytics Engines
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Solution Overview
Problem
Current methods for public-safety alerts, such as those for missing persons or vehicles, often result in excessive human resource utilization and may lead to inefficient searches due to inadequate sensor coverage, with alerts becoming stale as resources are reduced over time.
Innovation Solution
A computing device determines the geographic area for a search and assesses available sensors, assigning alerts to sensor analytics engines if sensor density and distribution meet a threshold condition, or to human-based searches if they do not, to optimize resource allocation and search success.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human-based searches are initiated for all alerts, then the chance of finding target objects is maximized, but human resource usage becomes excessive
Solution Approach 1:
The patent introduces sensor analytics engines as an intermediary between alerts and human-based searches. These automated systems first evaluate sensor coverage in the geographic area and only escalate to human resources when sensor density and distribution meet threshold conditions, thereby reducing unnecessary human deployment while maintaining search effectiveness
Solution Approach 2:
The system performs preliminary assessment of sensor coverage conditions before initiating human-based searches. By pre-evaluating whether the geographic area has sufficient sensor density and distribution, the system avoids deploying human resources in areas where automated sensor analytics would be more efficient, thus optimizing resource allocation
2Quantity of substance
If sensor analytics engines are used for all alerts, then human resource usage is minimized, but search effectiveness decreases in areas with inadequate sensor coverage
Solution Approach 1:
The patent implements a dynamic allocation system where the search methodology adapts based on real-time sensor coverage conditions. The system automatically switches between sensor analytics engine mode and human-based search mode depending on whether the geographic area meets the threshold conditions for sensor density and distribution, ensuring optimal effectiveness for each scenario
Solution Approach 2:
The system applies different search strategies to different geographic areas based on their local sensor coverage characteristics. Areas with sufficient sensor density and distribution receive automated sensor analytics treatment, while areas with inadequate coverage receive human-based search deployment, thereby optimizing search effectiveness for each local context
3Speed
If human-based searches are initiated immediately, then search speed is maximized, but alerts become stale as resources are reduced over time
Solution Approach 1:
The patent replaces the traditional mechanical human-based search initiation with an automated sensor analytics engine that operates continuously without resource reduction. This automated system maintains consistent search capability over time by leveraging persistent sensor networks, preventing alerts from becoming stale due to resource depletion
Data Source
AI summary
A device, method and system for assigning alerts to sensor analytics engines is provided. A device one or more of generates and receives an alert to perform a search for a target object. The device determines a geographic area in which to perform the search for the target object. The device determines sensors available in the geographic area for use in the search for the target object. The device, in response to the sensors meeting a threshold condition, assigns the alert to a sensor analytics engine to search for the target object using the sensors. The device, in response to the sensors not meeting the threshold condition, provides the alert to one or more communication devices to initiate a human-based search for the target object.