The MPU 6050 Gyroscope & Accelerometer Sensor is a compact and high performance motion sensing module designed for precise detection of orientation, acceleration, and angular velocity in robotics, wearable electronics, and motion tracking applications. Unlike basic motion sensors, the MPU 6050 integrates a 3‑axis gyroscope and a 3‑axis accelerometer in a single chip with built in Digital Motion Processor™ (DMP), allowing it to deliver stable and accurate motion data with minimal external processing required. Thanks to its digital I²C interface, low power consumption, and small form factor, it’s ideal for drones, robot stabilization systems, gesture recognition, and inertial measurement units (IMUs) in embedded applications. With easy 4‑pin connectivity (VCC, GND, SDA, SCL), the MPU 6050 integrates seamlessly with Arduino, ESP32, Raspberry Pi, and other I²C compatible microcontrollers, making it perfect for both beginners and advanced makers. Whether you're building a balancing robot, wearable motion tracker, or navigation system, the MPU 6050 is a reliable motion sensor solution. Highlights: 6‑axis motion sensing (3‑axis gyro + 3‑axis accel). Built in Digital Motion Processor™ (DMP). I²C digital communication interface. Low power consumption. Compact and easy to integrate module. Compatible with Arduino, ESP32, Raspberry Pi & more. Please note: The pins come unsoldered and require soldering before use. Specifications: Operating Voltage: 3.3-5 V. Sensor Model: MPU 6050. Communication Protocol: I²C. Gyroscope Range: ±250, ±500, ±1000, ±2000 °/s. Accelerometer Range: ±2, ±4, ±8, ±16 g. Output Resolution: 16‑bit for both gyro & accel. Sampling Rate: Up to 1 kHz. Dimensions: ~20×16×3mm. Interface: 8‑pin (VCC, GND, SDA, SCL, XDA, XCL, AD0, INT). Low Power Sleep Mode Support. Ideal For: 🤖 Robot stabilization & balancing systems. 🚁 Drones & quadcopters motion control. 📱 Wearable gesture & motion tracking. 📍 Inertial measurement units (IMUs). 🎓 Arduino & STEM education projects. Note: Product appearance may vary slightly from the images shown. Text or markings on the sensor may differ depending on the batch.
