Execution Context
The Magnetometer and Video Detection agent fuses inertial sensor data with optical input to resolve ambiguous parking states. By cross-referencing magnetic field anomalies with visual confirmation, the system eliminates false positives common in single-sensor setups. This orchestration ensures reliable occupancy mapping for automated enforcement and fleet management applications.
The agent initiates a synchronized data stream from magnetometer arrays and video capture units to establish baseline environmental conditions.
Algorithms analyze magnetic field distortions indicative of vehicle presence while simultaneously processing visual frames for object recognition.
Fusion logic correlates sensor signatures to generate a definitive parking status report with confidence scoring and geolocation tagging.
Operating Checklist
Initialize sensor arrays and calibrate baseline magnetic fields against known zero-vehicle states.
Stream video frames and magnetometer samples into the fusion engine at synchronized intervals.
Execute parallel detection models to identify potential vehicles via magnetic signature and visual features.
Resolve conflicting signals by weighting sensor reliability and outputting unified parking status.
Integration Surfaces
Sensor Input Interface
Real-time ingestion of raw magnetometer readings and uncompressed video streams from edge cameras.
Data Fusion Engine
Core processing unit where multi-modal signals are aligned temporally and spatially for correlation analysis.
Status Output Portal
Delivery channel for finalized occupancy maps, anomaly alerts, and confidence metrics to downstream systems.
