The RPI-1031 Angle Sensor 4DOF Attitude HM Module 4 Direction is a high-performance sensor module designed to measure the orientation and angular position in three-dimensional space. It features a 4 Degrees of Freedom (DOF) sensor, capable of measuring pitch, roll, and yaw angles along with an additional axis for more precise motion tracking. This module is ideal for applications such as robotics, drones, and navigation systems that require accurate attitude and orientation data. It communicates via I2C, making it easy to interface with various microcontrollers such as Raspberry Pi, Arduino, or ESP32.
- 4DOF Sensor: Provides measurements for pitch, roll, yaw, and an additional axis to detect full 3D motion and orientation.
- High Precision: Offers accurate angle measurement, making it suitable for use in high-precision applications such as drone navigation and robotics.
- I2C Communication: Uses the I2C protocol for easy integration with microcontrollers like Arduino, Raspberry Pi, and others.
- Compact Design: The small form factor makes it ideal for embedded systems and space-limited applications.
- Real-Time Data: Provides real-time attitude data for dynamic systems, allowing for precise control and monitoring.
RPI-1031 Angle Sensor 4DOF Attitude HM Module 4 Direction Specifications
- Sensor Type: 4DOF Attitude and Angle Sensor
- Operating Voltage: 3.3V to 5V
- Communication: I2C interface
- Measuring Axes: Pitch, roll, yaw, and an additional axis
- Assembly: Fully assembled and ready for integration
RPI-1031 Angle Sensor 4DOF Attitude HM Module 4 Direction Applications
- Robotics: Essential for robotic systems that require real-time orientation and motion tracking to operate effectively.
- Drones: Can be used in drone navigation systems to track attitude and maintain stable flight control.
- Automated Systems: Ideal for automated systems that need accurate orientation data for precise movement, such as robotic arms or vehicles.
- Virtual Reality: Suitable for use in VR systems where real-time orientation and movement tracking are essential for immersive experiences.