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Sensor Integration

Multi-sensor integration is the foundation of the AI platform's detection capabilities.

Contents

SectionDescription
Methane DetectionTDLAS-based CH4 sensing
Thermal ImagingInfrared anomaly detection
LiDAR Processing3D mapping and volumetrics
GPR SubsurfaceGround penetrating radar

Sensor Stack

SensorTechnologyPrimary Use Cases
RGB CameraDJI integratedVisual inspection, OCR, object detection
Thermal CameraDJI integratedHot spots, leak detection
Methane SensorBL-CH4 (TDLAS)CH4 detection and quantification
LiDARIntegrated payloadVolumetric calculation, 3D mapping
GPRSpecialized payloadUnderground interference

Multi-Sensor Correlation

The platform's key differentiator is correlating signals across sensors:

┌─────────────┐    ┌─────────────┐    ┌─────────────┐
│ Visual │ │ Thermal │ │ Methane │
│ Detection │ │ Anomaly │ │ Reading │
└──────┬──────┘ └──────┬──────┘ └──────┬──────┘
│ │ │
└──────────────────┼──────────────────┘

┌─────────▼─────────┐
│ Correlation │
│ Engine │
└─────────┬─────────┘

┌─────────▼─────────┐
│ Correlated │
│ Event │
└───────────────────┘

Correlation Benefits

Single SensorIssueCorrelated Solution
Methane onlyWind causes 300% error+ Visual confirms source location
Thermal onlySun creates false positives+ Visual context filters noise
Visual onlyCannot confirm substance+ Methane + thermal identifies gas
GPR onlyAbstract data+ Geospatial links to assets

Data Pipeline

All sensor data flows through unified ingestion:

  1. FlightHub 2 API - Mission data, flight logs
  2. Media Storage - Images, video, sensor recordings
  3. Geospatial Layer - GPS correlation, digital twin
  4. Time-Series - Sensor telemetry, readings
  5. Event Store - Detection events, alerts