Threat Score Threshold Filtering for Sensor Data
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Solution Overview
Problem
Existing systems face challenges in accurately identifying and assessing threats in physical environments, leading to inefficient use of resources and potential false alarms, which can cause alert fatigue and incorrect emergency responses.
Innovation Solution
A user device and server device system that processes sensor data to determine threat scores, only sending data and alerts when the score meets a threshold, allowing for accurate threat identification and coordinated emergency responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If threat detection systems continuously monitor and send all sensor data, then completeness of threat information is improved, but resource utilization deteriorates due to false alarms and alert fatigue
Solution Approach 1:
The system changes the parameter of threat assessment by introducing a threat score threshold mechanism. Instead of treating all detected threats equally, the system quantifies threats using scores and only triggers alerts when scores exceed predefined thresholds, thereby reducing false alarms while maintaining detection accuracy
Solution Approach 2:
The system introduces an intermediary filtering layer between sensor data collection and alert generation. This intermediary processes sensor data through multiple algorithms, cross-validates findings, and applies threshold filtering before generating alerts, thus reducing resource waste from false positives while preserving genuine threat detection
2Measurement precision
If multiple algorithms and data sources are used to verify threats, then accuracy of threat determination is improved, but device complexity increases
Solution Approach 1:
The system segments the threat detection process into distinct functional modules: sensor data acquisition, individual algorithm processing, cross-validation layer, threat scoring, and alert generation. Each module performs a specific function, making the complex system manageable and maintainable while achieving high accuracy through coordinated operation of segments
Solution Approach 2:
The system merges multiple independent threat detection algorithms and data sources into a unified threat scoring framework. By combining results from different algorithms and cross-validating them, the system achieves higher measurement precision while presenting a simplified unified interface to users
Data Source
AI summary
A user device may obtain sensor data related to a physical environment. The user device may process the sensor data to determine that a potential threat exists in the physical environment and a threat score associated with the potential threat. The user device may determine that the threat score satisfies a threat score threshold. The user device may obtain, based on determining that the threat score satisfies the threat score threshold, additional information related to the physical environment. The user device may generate, based on the additional information related to the physical environment and at least one of the sensor data, information indicating the potential threat in the physical environment, or the threat score associated with the potential threat, threat determination information associated with the physical environment. The user device may perform, based on the threat determination information associated with the physical environment, one or more actions.