Multi-Sensor Danger Detection for Vulnerable Groups

The patent segments the analysis process into two distinct stages: first, a rapid initial assessment stage that quickly evaluates sensor data to identify potential dangerous situations, and second, a detailed analysis stage that performs comprehensive multi-sensor correlation only when the initial assessment indicates a potential danger. This segmentation allows the system to maintain high processing speed for normal situations while achieving high accuracy when dangers are detected.

The patent implements a preliminary filtering action before full analysis by establishing simple correlation rules that quickly assess whether sensor data patterns suggest a dangerous situation. Only when these preliminary correlation checks indicate potential dangers does the system activate the full multi-sensor analysis mechanism. This preliminary action reduces system complexity by keeping the default state simple while enabling comprehensive analysis only when needed.

The patent implements a dynamic analysis approach where the system automatically adjusts its analysis depth based on the situation. For normal, stable sensor readings, the system operates in a simple monitoring mode with high speed. When sensor data shows abnormal patterns or correlations suggesting potential dangers, the system dynamically transitions to a comprehensive multi-sensor correlation analysis mode, maintaining speed efficiency while improving accuracy when needed.