Service 03
Payload & edge computing integration
Onboard data processing, in real time.
We integrate companion computers (NVIDIA Jetson, Raspberry Pi) for computer vision, tracking, vision-aided navigation and low-latency streaming, with precise sensor synchronisation and georeferencing.
Strengths
- ROS 2 architecture for the dialogue between avionics, companion computer and payload
- NVIDIA Jetson integration with onboard AI inference
- Time synchronisation and data georeferencing (GNSS RTK/PPK)
- In-flight processing: object detection, assisted inspection, operator alerts
Intelligence onboard
Modern data collection asks the drone to extract operational value in flight:
- Real-time computer vision — recognition of anomalies on infrastructure, thermal surveys, counting and tracking, with immediate alerts on the ground.
- Vision-aided navigation — useful where the GNSS signal is weak or absent, in covered industrial environments or close to structures.
- Ready-to-use data — precise alignment between the GNSS receiver and the optical/thermal sensors for datasets that are immediately usable in photogrammetry or GIS.
Typical deliverables
- Engineered payload pod with dedicated wiring
- Configured onboard software and a test scenario
- Data-interface documentation
Technologies & toolchain
ROS 2 NVIDIA Jetson & AI accelerators MAVLink Camera Protocol Low-latency video streaming
Standards & compliance
- ▸EMI shielding and thermal management of high-power loads
- ▸Protected, quick-release mechanical enclosures
- ▸Documented data interfaces toward the client's systems
Request a proposal for this service
Send us the technical specs for a tailored feasibility review.
Request feasibility