Overview
The S2-F290 Programmable Drone is a high-performance industrial-grade drone designed for secondary development and drone challenges. Featuring a payload capacity of 2400g, a 6S 6000mAh battery, and a maximum control distance of 10KM, it delivers precision with GPS positioning accuracy of ≈1–2m and wind resistance of Level 3–4. Powered by the Pixhawk 2.4.8 flight controller with open-source ROS SLAM technology, the drone supports advanced functions such as 3D LiDAR mapping, YOLO-based object recognition, and formation flying. Its 3mm carbon fiber frame ensures exceptional durability and stability, tested in extreme conditions. The platform is highly customizable, offering features like Chinese/English QGC ground station support, modular expandability, and comprehensive tutorials, making it ideal for research, competition, and development applications.
Specification
Aircraft
Parameter | Specification |
---|---|
Name | S2-F290 Programmable Drone |
Payload Weight | 2400g |
Model | S2-F290 |
GPS Positioning Accuracy | ≈1–2m |
Wheelbase | 290mm |
Maximum Takeoff Weight | 3190g |
Battery | 6S Standard 6000mAh Battery |
Control Distance | 10KM (Recommended within 1000m) |
Wind Resistance | Level 3–4 |
Operating Environment | Indoor/Outdoor |
Endurance Test Results | Details |
---|---|
Propellers | 7-inch |
Battery Capacity | 6S 6000mAh (5300mAh used) |
Environment | Windless |
Flight Time | 11 minutes 30 seconds |
Flight Controller
Component | Specification |
---|---|
FMU Processor | STM32H743 Cortex-M7, 480MHz, 2MB Flash, 1MB SRAM |
IO Processor | STM32F103 Cortex-M3, 72MHz, 64KB SRAM |
Sensors | Accelerometer/Gyroscope: ICM-42688-P |
Accelerometer/Gyroscope: BMI055 | |
Magnetometer: IST8310 | |
Barometer: MS5611 | |
Rated Voltage | Max Input Voltage: 6V |
USB Power Input: 4.75-5.25V | |
Servo Input: 0-36V | |
Rated Current | Telemetry 1 Max Output Current: 1A |
Combined Current for Other Ports: 1A | |
Mechanical Data | Dimensions: 53.3 × 39 × 16.2 mm |
Weight: 39.2g | |
Ports | - 14 PWM Outputs (8 from IO, 6 from FMU) |
- 2 General-purpose Serial Ports | |
- 2 GPS Ports | |
- 1 I2C Port | |
- 2 CAN Ports | |
- RC Input for Spektrum/DSM, S.BUS, CPPM, etc. | |
- Power Input Port | |
Other Features | Operating Temperature: -40–85°C |
Onboard Computer
Component | Specification |
---|---|
Computing Power | 40 TOPS |
GPU | 32 Tensor Cores with 1024-core NVIDIA Ampere GPU |
CPU | 6-core Arm Cortex-A78AE v8.2 64-bit, 1.5GHz |
RAM | 8GB 128-bit LPDDR5 68GB/s |
Storage | SD Card or External NVMe |
Max CPU Frequency | 1.5GHz |
Remote Controller
Component | Specification |
---|---|
Operating Voltage | 4.2V |
Operating Current | 100mA |
Frequency Band | 2.4–2.483GHz |
Weight | 525g |
Dimensions | 130 × 150 × 20 mm |
Battery Life | 20 hours |
Charging Port | MICRO-USB |
Control Range | 7KM |
GPS
Component | Specification |
---|---|
Satellite Receiver | UBLOX-M9, 92 Channels |
Electronic Compass | QMC5883L |
Satellite Systems | GPS L1 C/A, GLONASS L1OF, BeiDou B1, Galileo E1 |
Satellite Channels | 32 |
Update Rate | 25Hz |
Positioning Accuracy | 1.5m CEP (ideal environment) |
Startup Time | Cold Start: 24s, Hot Start: 1s |
Dimensions | 25 × 25 × 8 mm |
Weight | 12g |
Battery
Component | Specification |
---|---|
Connector Type | XT60 |
Recommended Charge Current | 3–5A |
Battery Capacity | 6000mAh |
Nominal Voltage | 22.2V |
Discharge Rate | 75C |
Dimensions | 50 × 44 × 158 mm |
Weight | 816g |
LiDAR
Component | Specification |
---|---|
Laser Wavelength | 905nm |
Range | 40m @ 10% Reflectivity, 70m @ 80% Reflectivity |
Minimum Detection Area | 0.1m |
Field of View | Horizontal: 360°, Vertical: -7° to 52° |
Point Cloud Output | 200,000 points/second |
Point Rate | 10Hz |
Protection Level | IP67 |
Power | 6.5W (25°C environment) |
Voltage Range | 9–27V DC |
Dimensions | 65 × 65 × 60 mm |
Weight | 265g |
Depth Camera
Component | Specification |
---|---|
Depth Technology | Dual Infrared |
Depth Viewing Angle | 87° × 58° (Horizontal × Vertical) |
Depth Resolution | 1280 × 720 |
Depth Accuracy | <2% within 2m |
Depth Frame Rate | 90fps |
Depth Range | 0.3–3m |
Dimensions | 90 × 25 × 25 mm |
Operating Environment | Indoor/Outdoor |
Single-lens Camera
Component | Specification |
---|---|
Max Resolution | 2MP (1920 × 1080) |
Max Frame Rate | 30fps |
Field of View | ~90° |
Cable Length | ~1.5m |
Dimensions | 35 × 35 × 30 mm |
Function Table
unction | Basic Configuration | Optional D435 | Optional D435 + 4G Module |
---|---|---|---|
Altitude hold, hovering, return home | ✔ | ✔ | ✔ |
Landing, stabilization, waypoint flight | ✔ | ✔ | ✔ |
Remote control flight | ✔ | ✔ | ✔ |
Communication between flight controller and onboard computer | ✔ | ✔ | ✔ |
QR code recognition and landing | ✔ | ✔ | ✔ |
Object recognition and dropping | ✔ | ✔ | ✔ |
Simultaneous mapping and obstacle avoidance | ✔ | ✔ | ✔ |
3D LiDAR mapping and positioning | ✔ | ✔ | ✔ |
YOLO-based object recognition | ✘ | ✔ | ✔ |
Object recognition and tracking | ✘ | ✔ | ✔ |
4G Remote Control | ✘ | ✘ | ✔ |
Package Includes
Basic Configuration
- Frame: F290 Carbon Fiber Frame
- Motors: 4× T-motor F100 Kv1100
- ESC: 4× FlyFun T-rex 5 45A
- Propellers: 4× 7-inch Tri-Blade Propellers
- Flight Controller: Pixhawk6mini
- Battery: 6S Standard Battery 6000mAh
- Charger: 6S Battery Charger
- Onboard Computer: Jetson Orin Nano 8G + WIFI Module
- SSD: 256G
- LiDAR: Livox MID360
- Camera: 150° Wide-angle USB Camera
- Remote Controller: Cloud T10 (includes data receiver)
Optional Configuration: D435
Includes all components from the Basic Configuration, plus:
- Dual-Lens Camera: D435
Optional Configuration: D435 + 4G Module
Includes all components from the Basic Configuration, plus:
- Dual-Lens Camera: D435
- 4G Module
Details
S2-F290 Programmable Drone
- ✔ Technical Support, Hassle-free After-sales Service
- ✔ Provides Competition Examples, Customizable
- ✔ Chinese/English Mobile Ground Station
- ✔ High Stability, High Performance
- ✔ Indoor/Outdoor
The S2-F290 is a cutting-edge drone tailored for drone racing, specializing in exploration and innovation. Designed to integrate advanced technology and unlimited creativity, it is capable of adapting to various complex environments, making aerial exploration more accessible and effective.
This drone features a compact design with immense power. It offers a wealth of competition examples, allowing users to quickly master and optimize its performance. Equipped with a dedicated Chinese/English mobile ground station, it greatly enhances drone operation convenience. Additionally, it provides competitive source code explanations and customizability to ensure users can achieve their desired functionalities in the shortest time while excelling in competitive scenarios.
Meeting the Needs for Development / Competition / Research
Category | Details |
---|---|
ROS Basic Knowledge | - Remote Control |
- Communication between Flight Controller and Onboard Computer | |
Basic Functions | - Route Planning |
- QR Code Recognition and Positioning | |
- Offboard Autonomous Patrol | |
Advanced Functions | - QR Code Recognition for Landing |
- Object Recognition and Dropping | |
- Simultaneous Mapping and Obstacle Avoidance | |
- 3D LiDAR Mapping and Positioning | |
- YOLO-based Object Recognition | |
- Web-based Video Transmission | |
- Outdoor Formation Flying | |
- Land-Air Collaborative Formation | |
Optional D435 Camera Functions | - VINS Visual Positioning |
- YOLO-based Object Recognition and Tracking | |
Optional 4G Communication Functions | - 4G Remote Control |
Autonomous Obstacle Avoidance, Comprehensive Safety Assurance
Utilizing 3D LiDAR for autonomous obstacle avoidance, the drone combines global route planning with local dynamic obstacle avoidance to precisely detect obstacles from all directions. It supports automatic stopping as well as continuous flight, enabling flexible avoidance of objects along the flight path, ensuring a safer flight experience.
QR Code Recognition and Landing
The drone activates the camera and QR code recognition module to acquire the real-time positional information of the QR code. During the descent, the drone dynamically adjusts its position, ensuring precise alignment with the camera's field of view before proceeding to land.
YOLO Object Recognition
The drone uses YOLOv8 for object recognition, acquiring the positional information of the circular frame in real time. It autonomously adjusts its position and navigates through the circular frame.
Outdoor Formation Flying
The drone utilizes swarm formation technology, enabling coordinated control of multiple drones to achieve formation flight. By leveraging advanced communication and collaborative control algorithms, it facilitates real-time communication and information exchange among drones, synchronizing their movements and positions to form a tight formation.
Land-Air Collaborative Formation
This platform supports collaborative formation between land and aerial drones. By leveraging a local area network with topology structures for device interconnectivity, it uses UDP communication and custom protocols to ensure high-speed and stable communication. With PID control, it achieves synchronized following between the main drone and multiple slave drones, ensuring formation stability and operational efficiency.
Competition Example
Provides exclusive competition scenarios with step-by-step guidance, enabling participants to easily adapt to various types of competitions.
Features of the S2-F290 Programmable Drone
High Cost-Performance
- Designed for beginners to reduce the learning curve and make it easier to master drone operation.
- Priced for affordability, making it the ideal learning drone for students and enthusiasts.
High Stability
- Tested in various extreme conditions over three years.
- Equipped with a 3mm thick carbon fiber frame for enhanced durability and stability.
- Allows users to gain recognition in their first competition experience.
Expandability
- Supports advanced customization for diverse applications.
- Compatible with various expansion components to continuously improve drone performance and functionality.
Worry-Free After-Sales Service
- Professional team providing comprehensive guidance and support.
- Offers free repairs for hardware damages caused by operational errors during the warranty period (excluding accessories and batteries).
Customizable
- Provides support for exclusive development in ROS and QGC.
- Supports high accuracy of over 98% for mapping and navigation.
- Compatible with RTK/GPS modules, logos, and various unique functionalities.
Ground Station Configuration
Using Pixhawk 2.4.8 Flight Controller
Equipped with the latest standard 32-bit STM32F427 processor and the MS5611 barometer, this flight controller offers abundant interfaces and high cost-performance as an open-source option.
1. Exclusive Deeply Customized QGC Ground Station
- Achieves over 98% localization into Chinese.
- Supports advanced features such as NTRIP.
2. Mobile QGC Ground Station
- Provides a mobile version of the QGC ground station, enabling seamless operation from a smartphone.
3. Wi-Fi or 4G Direct Connection
- Simply connect via Wi-Fi to operate using a smartphone or computer.
- Note: The "ezuav" system shows it is connected to the device but cannot provide internet access.
Comprehensive Tutorials and Fully Open-Source Resources
- Extremely detailed usage tutorials covering all aspects of the S2-F290 drone's functionality.
- Fully open-source materials, including:
- Software introductions and installation guides.
- Tutorials for basic and advanced features, such as OpenCV-based object recognition, 3D mapping, and offboard autonomous flight.
- Custom development instructions for PX4 and MAVLink communication.
- Troubleshooting FAQs, ROS environment configuration, and operational steps.