System 01
Why onboard AI compute matters
Onboard processing reduces dependence on a continuous high-bandwidth link and lets mission software interpret sensor data close to where it is generated.
Jetson Orin Nano drone AI
Jetson Orin Nano Drone AI for Onboard Autonomy
Bring AI inference, sensor processing, mission decisions, and MAVLink communication onboard the UAV with a dedicated companion computer.
Mission capability
A connected system from operator intent to safe flight execution.
Aeroniti integrates Jetson Orin Nano onboard computers with drone sensors, AI models, MAVLink telemetry, Pixhawk flight controllers, and autonomous mission logic.
How the system works
Engineering Jetson Orin Nano drone AI around the mission.
Each layer is configured around the aircraft, operating environment, sensor stack, safety requirements, and level of human supervision.
System 02
Jetson Orin Nano as the drone AI brain
Jetson Orin Nano provides GPU-accelerated compute for perception, sensor processing, model inference, mission logic, and companion-computer communication within an integrated UAV.
System 03
RGB, depth, thermal, and LiDAR inputs
A configured compute stack can ingest complementary visual, depth, thermal, and ranging data, subject to interface compatibility and mission requirements.
System 04
YOLO and custom AI inference
Aeroniti can integrate YOLO-family or custom models for relevant detection tasks, then connect inference output to evidence capture, alerts, or bounded mission actions.
System 05
MAVLink with Pixhawk and ArduPilot
The Jetson companion computer exchanges telemetry and command intent through MAVLink while Pixhawk running ArduPilot retains safety-critical flight control.
System 06
Human-supervised onboard autonomy
Operators retain mission visibility and intervention controls. The onboard computer adds intelligence without replacing geofence, failsafes, return-to-launch, or pilot authority.
Frequently asked questions
Questions about Jetson Orin Nano drone AI.
Practical answers for teams assessing an Aeroniti mission configuration.
What does Jetson Orin Nano do on a drone?
It acts as a companion computer for AI inference, sensor processing, mission decisions, telemetry handling, and communication with the autopilot.
Can Jetson Orin Nano connect to Pixhawk?
Yes. A companion-computer integration commonly uses MAVLink over an appropriate serial, USB, or network interface.
Can it run YOLO detection models?
Yes. Model selection and performance depend on the chosen architecture, optimization, input resolution, frame rate, thermal design, and mission requirements.
Which sensors can connect to the onboard computer?
Depending on interfaces and configuration, inputs can include RGB, depth, thermal, LiDAR, and other mission-specific sensors.
Does the Jetson replace the flight controller?
No. The Jetson provides the intelligence layer, while Pixhawk and ArduPilot provide flight control and safety behavior.
Request demo
Discuss your Jetson Orin Nano drone AI requirements.
Share the mission, aircraft, operating environment, sensors, payload, safety constraints, and expected outcome. Aeroniti can define a focused integration and field-validation path.