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    AJMRTC BMI160 6-Axis Inertial Measurement Sensor Module, 3-Axis Accelerometer + 3-Axis Gyroscope Gravity Sensor, Support I2C & SPI Interface with Built-in PMU for Arduino ESP32 STM32 DIY Project

    • 1. Integrated 6-axis IMU combining 3-axis accelerometer and 3-axis gyroscope in single chip
    • 2. Built-in PMU power management unit for flexible power modes and lower power draw
    • 3. Dual communication interfaces: I2C and SPI, flexible for different microcontroller designs
    • 4. High measurement resolution, supports motion detection, tilt trigger and gesture wake-up
    • 5. Compact module layout, easy integration into wearable devices and robot control systems
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    Overview
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    AJMRTC BMI160 inertial sensor module adopts the high-performance BMI160 6-axis IMU chip. It integrates a 3-axis acceleration sensor and a 3-axis gyroscope, capable of capturing tilt angle, vibration, rotation speed and motion posture data simultaneously. An on-chip PMU power management unit provides multiple configurable power states, helping designers optimize battery life for portable products. It supports both I2C and SPI communication buses for convenient connection with Arduino, ESP32, STM32 and other mainstream MCUs. It can detect free fall, single/double tap, tilt and motion interrupt events. Widely applied for drone attitude auxiliary detection, smart wearable devices, motion tracking, robotic balance control, virtual reality auxiliary positioning and electronic experiment development.


    Specifications

    1. Model: BMI160 6-Axis IMU Sensor Module
    2. Chip: BMI160
    3. Sensing Elements: 3-Axis Accelerometer + 3-Axis Gyroscope
    4. Built-in Unit: PMU Power Management Unit
    5. Communication: I2C / SPI
    6. Accelerometer Range: ±2g / ±4g / ±8g / ±16g (Configurable)
    7. Gyroscope Range: ±125°/s ~ ±2000°/s (Configurable)
    8. Working Voltage: DC 1.71V - 3.6V
    9. Feature: Motion Interrupt, Tap & Tilt Detection, Low Power Mode
    10. Application: Robot Balance, Wearable Device, Motion Tracking, Attitude Detection Project


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