← All Equipment Payloads

Sensors that define what data we can capture.

LiDAR, thermal, and edge computing payloads mounted on the DJI Matrice 400. Each extends what's possible in the field, from centimetre-accurate point clouds to real-time onboard AI processing.

Zenmuse L3

LiDAR Payload

Overview

  • 240,000 points per second for dense, accurate point cloud capture across large areas.
  • Simultaneous LiDAR and 4K RGB imaging in a single flight, with no separate RGB pass required.
  • Mounted on the DJI Matrice 400 with direct integration for RTK-corrected georeferencing.
  • Point cloud accuracy to within centimetres for engineering and survey-grade deliverables.

Mission Use

  • Terrain and topographic surveys for engineering assessments, drainage analysis, and site planning.
  • Infrastructure corridor mapping for pipelines, transmission lines, and rail rights-of-way.
  • Construction volumetrics covering stockpile measurement, cut/fill analysis, and earthwork verification.
  • Bridge and structure 3D modelling for MTO load ratings, structural condition, and deformation monitoring.

Zenmuse H30T

Thermal Payload

Overview

  • 640×512 uncooled radiometric thermal sensor for quantitative temperature measurement and anomaly detection.
  • 164× hybrid zoom for close-up inspection detail at safe standoff distances from structures.
  • Integrated laser rangefinder for accurate geo-referenced measurements during inspection.
  • Simultaneous multi-channel capture, delivering thermal and visual data in every frame.

Mission Use

  • Cell tower and transmission infrastructure inspection, revealing component failures without a climb crew.
  • Roof and solar array thermal surveys that detect leaks, moisture, and underperforming panels.
  • Wildfire hotspot identification and public safety monitoring at extended range.
  • Facility and utility condition assessment where proximity is restricted or unsafe.

DJI Manifold 3

Edge Computing

Overview

  • NVIDIA Jetson-based AI processing unit mounted directly in the Matrice 400 payload bay.
  • Runs inference models at the edge, processing imagery and sensor data during flight.
  • Reduces data transfer volume by filtering and flagging findings at the source before landing.
  • Supports custom ML model deployment for enterprise inspection and automation workflows.

Mission Use

  • Enables autonomous inspection, with anomalies flagged in real time without manual post-processing.
  • Accelerates deliverable turnaround by processing during flight rather than after landing.
  • Foundation for enterprise clients requiring custom AI-driven inspection pipelines.
  • Supports integration with our automated visual inspection platform for structured output delivery.

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