Radiolink SUI04 Pixhawk Ultrasonic Distance Sensor

Radiolink SUI04 Pixhawk Ultrasonic Distance Sensor

The Radiolink SUI04 Pixhawk Ultrasonic Distance Sensor is a micro-sized, ultra-lightweight obstacle avoidance and distance measurement module specifically engineered for unmanned aerial vehicles (UAVs), multirotors, and autonomous ground rovers. Seamlessly compatible with popular open-source flight controllers like Pixhawk, APM, and Mini Pix, this smart sensor excels at precision automated landing, terrain following, and real-time collision avoidance missions.

Featuring an onboard 32-bit MCU at its core, the SUI04 processes and filters ultrasonic signals at the hardware level. This advanced architecture filters out anomalies and false positives caused by propeller airflow, motor noise, and environmental interference, delivering ultra-clean distance data to the flight controller. Utilizing the **I2C communication interface**, it supports **multi-sensor cascading (daisy-chaining)** on a single bus line. This allows you to mount multiple SUI04 modules facing forward, backward, downward, and sideways to establish a comprehensive 360-degree obstacle detection shield around your aircraft.

Key Features:

• Advanced Hardware Filtering: Thanks to its dedicated internal processor, it delivers ultra-fast 30ms response times unaffected by heavy motor vibrations or high-speed wind currents.
• Multi-Sensor Cascade Support: Address multiple SUI04 sensors simultaneously over the same I2C data bus to equip your drone with multi-directional, proactive obstacle avoidance capabilities.
• Ultra-Lightweight & Minimal Footprint: Weighing a mere 8 grams with its cable, its micro form factor adds zero payload penalty, making it ideal for everything from racing quads to industrial UAVs.
• Plug-and-Play Pixhawk Integration: Easily calibrated via Mission Planner or QGroundControl, providing native hardware support for ArduPilot and PX4 open-source firmware stacks.

Technical Specifications:

Application Areas:

• Precision low-altitude stabilization (Terrain Following) and fully automated safe autoland systems for autonomous UAVs.
• Active collision avoidance mechanisms for indoor multirotor flights or navigation through dense, narrow environments.
• Proactive front/rear blind-spot obstacle mapping grids for unmanned ground vehicles (UGVs), robotic rovers, and smart automation systems.