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Feature

  • Compact and Lightweight for Deployment: Weighs only 80 grams, making it ideal for UAVs and UGVs, with a compact form factor and rich I/O ready for field integration.
  • Powerful AI Performance for Real-Time Drone Autonomy: Delivers up to 100 TOPS with low power and latency, compatible with the NVIDIA Orin Nano/Orin NX SoC , enables real-time navigation, obstacle avoidance, object detection, and tracking for autonomous systems.
  • Versatile Sensor Support: Compatible with RGB, infrared, hyperspectral, LiDAR, and 3D cameras, enabling rich environmental perception for advanced autonomy.
  • Seamless Communication Interfaces: Integrates easily with flight controllers and peripherals via UART, and expandable Ethernet and CAN ports for smooth system coordination.
  • Flexible Power Input: Supports a wide voltage range (4S to 14S battery packs) through the XT30 DC-IN connector, ideal for mobile and aerial platforms.
  • Real-Time Wireless Connectivity: Connecting your 5G/4G module on it to support for real-time image, video, and data transmission, enhancing situational awareness and remote operation.

Specification

Product

reComputer Mini Carrier Board

Storage

1x M.2 Key M PCIe (M.2 NVMe 2242 SSD 128G NOT included)

Networking

M.2 KEY E

1x M.2 Key E for WiFi/Bluetooth module

I/O

USB

2x USB 3.2 Type-A (10Gbps);

1x USB 2.0 Micro-B (Device Mode);

1x USB 3.2 Type-C (Host Mode);

1x USB 2.0 JST-5pin (Host Mode);

UART

1x UART

1x Debug Uart

Display

1x DP 1.4 (included in Type-C conenctor)

Fan

1x 4 pin Fan Connector (5V PWM)

Button

1x Reset Button; 1x Recovery Button

Extension Port

2x 60 pin High Speed Connector (For extension board)

1x 10 pin Power Connector (For extension board)

RTC

1x RTC 2-pin

Power

1 x XT30 Connector (12-54V DC)

Mechanical

Dimensions (W x D x H)

56mm x 88mm x 17mm

Weight

80g (Without Extension)

Installation

Desk, wall-mounting

Operating Temperature

-10℃~50℃

Warranty

1 Year

 

Hardware Overview

Application

  • Robotic Control

  • Multi-Sensor Fusion for Autonomous Mapping & Navigation

reComputer Mini supports sensor-rich autonomy by integrating data from LiDAR (via Ethernet/CAN), 3D cameras (via USB/CSI), GPS, and IMU (via UART). Using AI models and algorithms like ORB-SLAM,A-LOAM, or Nav2, it performs sensor fusion, real-time localization, path planning, and obstacle avoidance. The low-latency processing on the Orin NX SoC allows autonomous systems to adapt to changing terrain or obstacles on the fly. Its wide voltage input and compact form factor make it suitable for mobile deployment, enabling robust, edge-level autonomy without external compute.

Learn more about sensor options compatible with reComputer Mini to get started.

  • Build Multi-streams Object Detection & Tracking

For building real-time object detection, localization, and multi-object tracking, Jetson Orin NX incorporates the NVIDIA Multi-Standard Video Decoder, running YOLOV8/YOLO11 AI models to process high-resolution video input from RGB or infrared cameras connected via MIPI CSI or USB. This enables deployment in UAVs/UGVs for dynamic environments where identifying and following object, and assets is critical—without relying on cloud computation. See our tested YOLOv8 performance using NVIDIA Deepstream of single model and multi model on multi streams.

Documents

Certification

HSCODE8543909000
USHSCODE8517180050
UPC
EUHSCODE8543709099
COOCHINA

Part List

Seeed Carrier Board (reComputer Mini)

x1

XT30 to DC power connector

x1

Micro USB cable

x1

FAQ

There is no single "best" carrier board for all AI projects; the right choice depends on your required compute (Nano vs Orin vs Thor), number and type of sensors, networking needs, and deployment environment. For compact, power-constrained edge AI (like drones and small robots), a lightweight carrier such as the reComputer Mini for Orin Nano/NX is a strong option. For industrial AI, multi-camera or 10G networking, a more robust board like the reServer Industrial J501 for Jetson AGX Orin may be more suitable. In general, choose the smallest board that fully meets your I/O, power, and reliability requirements while leaving some headroom for future models.
A: Each Jetson carrier board is designed for specific module families and pinouts, so you cannot freely mix, for example, Jetson Nano, Orin NX, and AGX Orin modules on the same board unless the vendor explicitly states compatibility. You also need to match power requirements, connector layouts (camera, display, storage), and supported JetPack/Linux versions, since some features or peripherals may not work if the software BSP isn't tailored to that board. To avoid issues, always follow the compatibility table from the carrier board vendor (such as our reComputer and reServer series) and the corresponding NVIDIA Jetson module documentation.
First pick the Jetson module family (Nano, Orin Nano, Orin NX, AGX Orin, Thor, etc.) based on the AI performance you need. Then choose a carrier that is electrically and mechanically compatible with that module. For embedded and mobile systems, pay close attention to size, weight, power input range, and mounting options; for example, the reComputer Mini carrier is a lightweight (~80 g) board optimized for UAV/UGV use with up to 100 TOPS of Orin Nano/NX compute. Finally, check that the board provides the right mix of I/O (camera, Ethernet, USB, serial, CAN) and supports the JetPack version and OS you plan to deploy.
Jetson Nano carrier boards are designed for entry-level edge AI, so they typically offer basic I/O, fewer high-speed camera lanes, and lower power delivery suitable for 5-10 W modules. Jetson AGX Orin carrier boards are built for much higher performance (up to 275 TOPS) with more robust power, multiple high-bandwidth camera interfaces, 10G networking, and richer PCIe expansion. As a result, AGX Orin boards are better suited for complex robotics, multi-sensor fusion, and heavy AI workloads, while Nano boards are aimed at cost-sensitive or simpler vision applications.

reComputer Mini Carrier Board for Jetson Orin™ Nano/Orin™ NX

SKU 114993592

reComputer Mini is an 80g mission carrier board compatible with NVIDIA Jetson Orin Nano/Orin NX, built for UAV and UGV applications. It delivers up to 100 TOPS of AI performance for autonomous navigation, obstacle avoidance, and object detection. Supporting a wide range of sensors —RGB, infrared, LiDAR, 3D, and more— it combines extension board to connect with flight controllers via UART, Ethernet, and CAN. With 4S–14S battery input and external 5G/4G module, it enables real-time, responsive deployment in the field

USD$89.00
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