GY-50 L3G4200D 3‑Axis Gyroscope Sensor Module

The GY-50 L3G4200D 3‑Axis Gyroscope Sensor Module is a precision motion-sensing board designed to measure angular velocity on three axes with 16‑bit resolution. Built around the L3G4200D gyroscope, it offers an adjustable measurement range and flexible digital interfaces (I2C or SPI) for easy integration with Arduino, Raspberry Pi, and other microcontroller-based systems. A built-in 32-sample FIFO buffer enables batch data acquisition, minimizing processor load and improving timing determinism in embedded applications.

Overview 🧭

Ideal for robotics, stabilization, and inertial sensing, this compact module is an excellent choice for electronics components prototyping and production designs. Choose between I2C or SPI communications, and configure the I2C address via solder jumpers to avoid bus conflicts in multi-device setups.

Key Features ✨

• 3‑axis gyroscope module for precise angular rate measurement
• High-resolution 16‑bit output for accurate motion capture
• 32‑sample FIFO buffer for efficient batch data reads and reduced MCU overhead
• I2C and SPI interfaces for flexible system integration
• Adjustable gyroscope measurement range to suit diverse projects and environments

Technical Specifications 📋

• Operating Voltage: 3.5 V – 5.5 V
• Gyroscope Sensor: L3G4200D
• Resolution: 16‑bit
• Interface: I2C and SPI
• FIFO Buffer Capacity: 32 data points

Interfaces & Addressing 🔌

The module supports both I2C and SPI communication. In I2C mode, the device address can be customized via onboard solder jumpers, enabling multiple modules or other I2C electronics components to coexist on the same bus without address conflicts. The SPI option offers higher throughput for time-critical applications.

Integration & Compatibility 🤝

Designed for rapid prototyping and education, this module integrates seamlessly with Arduino, Raspberry Pi, ESP32, and other microcontroller development boards and modules. The broad voltage range simplifies power supply design in embedded systems, robotics, and data logging projects.

Typical Applications 🚀

• Robot navigation and balance control
• Gimbal and camera stabilization
• Motion capture and inertial measurement experiments
• Education and prototyping with Arduino and Raspberry Pi