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USX51 Industrial-Grade AI Computing Drone Flight Controller Board

Precio regular $999.99 USD Precio de oferta $699.99 USD
Save $300.00 USD

1. Edge AI Computing (10 TOPS): In-house Developed AI chip enables local AI decision-making, eliminating cloud latency to serve as a industrial drone solution.
2. Pixhawk 6X, PX4/ ArduPilot Compatible: Integrates AI chip and the Pixhawk 6X flight controller core architecture, purpose built for multirotor, fixed-wing drones and VTOL platforms.
3. High-Speed Ethernet: Built-in 100 Mbps Ethernet PHY for high-speed data and payload communication.
4. AI-Enhanced Navigation: Air-ground perception enables centimeter-level navigation in complex environments. Meet the autonomouse decision-making drones.
5. Universal Compatibility: Modular design supports all aircraft types, reducing integration costs.


In The Box: 1 x USX51 Drone Flight Controller, 1 x USP10 Power Module, 1 x USX51 Manual, 5 x Cables & Adapters, 4 X USX51 Corner Brackets, 2 x USP10 Corner Brackets

USX51 Industrial-Grade AI Computing Drone Flight Controller Board

USX51 Industrial-Grade AI Computing Drone Flight Controller Board

$699.99

USX51 is a high performance EDGE AI computing drone flight controller that integrates D-Robotics X5 AI chip with Pixhawk 6X, delivering integrated flight control and AI capabilities for autonomous drones and robots, It features powerful 10 TOPS AI computing power, dual-core independent design (Ubuntu + ROS 2/ PX 4/ Ardupilot), and rick interface compatiblity, making it ideal for intelligent drone navigation, industrial monitoring, and robotic control scenarios.

Take a Closer Look

USX51 Industrial-Grade AI Computing Drone Flight Controller Board 2
USX51 Industrial-Grade AI Computing Drone Flight Controller Board 3
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USX51 Industrial-Grade AI Computing Drone Flight Controller Board 5
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USX51 Industrial-Grade AI Computing Drone Flight Controller Board 7
USX51 Industrial-Grade AI Computing Drone Flight Controller Board 8
USX51 Industrial-Grade AI Computing Drone Flight Controller Board 9
USX51 Industrial-Grade AI Computing Drone Flight Controller Board 10

Specification

Item Specification
Product Name
Drone AI Flight Controller
Suitable UAV Types
Fixed-wing, Multirotor, VTOL
Model
USX51
Brand
Meshnology (Makerfire)
FMU Processor
STM32H753 - Arm Cortex - M7 480MHz, 2MB memory, 1MB SRAM
IO Processor
STM32F103 - Arm Cortex - M3 72MHz, 64KB SRAM
CPU
8x Octa-core Cortex.A55, 1.5GHz
GPU
32 GFlops, 2D & 3D Engine, Support OpenGL ES 3.1/3.0/2.0/1.1, OpenCL 1.1/1.2/3.0, Vulkan 1.0/1.2, DirectX 11
BPU
10 TOPS computing power, Bayes architecture: support Tranformer accelerated large models
DDR
LPDDR4/4x 32bit@4267Mbps, Up to 8GB
Accel/Gyro
ICM-45686x3
Compass
BMM150
Barometer
1 x BMP388, 1 x ICP20100
Power
8.7 W
Operating Temp.
-20 ~ +50 ℃
Product Size
122 x 58 x 28mm/ 4.8 x 2.3 x 1.1 inch
Package Size
182 x 173 x 49mm/ 7.2 x 6.8 x 1.9 inch
Product Weight
170 g/ 0.38 lbs

Warranty & After-Sales

Many of our products are handcrafted, which may result in minor variations or imperfections.
If you experience any quality-related issues within one year of purchase, we will offer afull refund or a replacement shipment. Please contact our support team with photos or videos of the issue, and we will assist you accordingly.

FAQ

Yes, the flight controller provides UART / USB / Ethernet interfaces for LiDAR connection. By running the vendor’s driver on the AI onboard computer, point cloud data can be accessed.

Not at the moment. We only provide the flight controller and AI computing platform.

Yes. The AI onboard computer is based on the RDK X5 Module (ARM CPU + 10TOPS BPU), preloaded with Ubuntu 22.04 and ROS2 Humble, supporting various sensors and transmission systems via peripheral interfaces.

We offer community support via Discord and Forum, where you can interact with engineers and developers.

Yes. It can connect to Flipper Zero via UART RX/TX and supports the MSP protocol for telemetry, sensor data transfer, and OSD display.

It supports PX4 and ArduPilot.

It can run real-time visual algorithms such as YOLO object detection, MobileNet image classification, and UNet/MobileSAM segmentation. More algorithms are being adapted.