Geometric Multi-Modal Sensor Fusion for Infrastructure Monitoring

A system and method for monitoring critical infrastructure combines multiple types of sensor data, including acoustic, vibration, and video sensors, into a unified geometric framework for enhanced threat detection. The system represents sensor information as geometric structures within a curved mathematical space that preserves the timing relationships between different types of sensor events. By computing optimal paths through this geometric space, the system can reason across different sensor types to identify patterns that indicate potential threats or equipment failures. The geometric representation naturally handles data compression while maintaining the relationships between different sensor modalities. When anomalies are detected through analysis of geometric patterns and information density, the system can generate alerts and provide explanations by traversing the geometric space. This approach enables earlier, and more accurate threat detection compared to traditional systems that analyze each sensor type separately before combining results.