PRODUCT INTRODUCTION
With a 600mm wheelbase and a carbon fiber platform design, the Q600 is robust and extensible. It is a multi-functional platform designed for UAV developers and researchers, suitable for the application research and secondary development of UAVs.
PRODUCT FEATURES
Modular Design
Cluster Formation
RTK Positioning
Ultra-long Battery Life
Camera
Supporting Secondary Development
Rich Interface
Open Source Code
C++
Python
ROS
Use Tutorial
Accurate Positioning
Uav is equipped with high-precision gps-rtk module, the refresh rate is as high as 20 hz, positioning accuracy up to 0.01 m + 1 PPM, to ensure accurate positioning, significantly improve accuracy and reliability.
Ultra Long Endurance
Uav is equipped with large capacity of semi-solid lithium battery, support for 42 minutes of flight time, reduce the battery replacement of downtime, improve work efficiency.
Super Computing Power
The drones are powered by the Nvidia Jetson series embedded mainframe, providing powerful computing power and efficient data processing. Whether it’s image recognition or path planning, Jetson hosts respond quickly and optimize task execution in real time.
Secondary Development
Uav supports C++ and Python programming, the code is open source and accompanied by tutorials, providing powerful secondary development capabilities. Users can customize the functions according to their needs and easily expand the application for research and education.
Designer and manufacturer of mobile robots, shipped to over 50 countries worldwide
Multi-agent Cooperation
Systems support uav and the collaborative operation between different agents, such as car. Through collaboration, drones can conduct aerial reconnaissance and unmanned vehicles can perform ground transportation, increasing mission complexity and overall efficiency. This kind of cooperation enhances the function complementarity of each agent and optimizes the operation effect.
PRODUCT FUNCTION
TECHNICAL PARAMETER
Specifications | Standard Configuration | High Configuration | |
Take-off Weight (approx.) | 3.3kg | ||
Maximum Take-off Weight (approx.) | 4.8kg | ||
Diagonal Wheelbase | 600mm | ||
Maximum Flight Time | About 42min | ||
Hovering Accuracy | ±40cm | ||
Embedded Host | Model number | Jetson Nano | Jetson Xavier NX |
CPU | Quad-core ARM® Cortex®-A57 MPCore Processor | 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU
6MB L2 + 4MB L3 | |
GPU | 128-core NVIDIA Maxwell™ architecture GPU | 384-core NVIDIA Volta™ Gpus with 48 Tensor cores | |
Memory | 4GB | 8GB | |
Storage | 64GB | 64GB | |
AI performance | 472 GFLOPS | 21 TOPS | |
Flight control | Processor | STM32 Processor | |
Sensor | Inner gyroscope, accelerometer, electronic compass, barometer | ||
Lidar | Scanning Radius | / | 0.12~16m |
Accuracy | / | ±20cm | |
Augular Resolution | / | 0.8° | |
Scan Rate | / | 10Hz | |
Sample Rate | / | 4500Hz | |
Angular Range | / | 360° | |
Depth Camera | RGB FOV | / | 71°x43.7° |
RGB Resolution Framerate&Frame Rate | / | 1920*1080，30fps(Max) | |
Depth FOV | / | 67.9°x45.3° | |
Depth Resolution&Frame Rate | / | 640×400，30fps(Max) | |
Depth Distance | / | 0.3~3m | |
Depth Accuracy | / | ±1-6mm (Within 1 meter) | |
Hd Pod (optional) | Optical Zoom | 10 times | |
Minimum Focus Distance | 200mm | ||
Data Transmission Interface | Supports transmission through Ethernet ports | ||
Video Resolution | 2K | ||
Video Frame Rate | 30fps(Max) | ||
HD Camera | Amount | 2 | |
Pixel | Eight million | ||
Resolution&Frame Rate | 1920×1080，30fps(Max) | ||
Positioning Module (RTK) | Refresh Rate | 20Hz | |
Positioning Accuracy | 0.01m +1ppm CEP | ||
RTK Surveyin-time | ＜60s | ||
Figure-Number Integrated Remote Control | Dimension | 308mmx148mmx72mm | |
Channels | 16 | ||
Communication Distance | 15 km | ||
Screen | 7 inch touch screen | ||
Charging time | 3.5 hours (30W fast charge) | ||
Operating Time | 10 hours | ||
Half-solid State Lithium Battery | Charge limiting voltage | 26.7V | |
Nominal voltage | 23.7V | ||
Capacity | 11000mAh | ||
