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SparkFun SEN-18020 6 Degrees of Freedom Breakout – LSM6DSO (Qwiic)

Brand: Sparkfun

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₹1,979 (Incl. of all taxes)

₹1,622.78

+ ₹356.22 GST
₹2,990 34% Off
Stock: Outofstock
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About this item

The SparkFun SEN-18020 breakout board features the LSM6DSO, a highly integrated 6 Degrees of Freedom (6DoF) Inertial Measurement Unit (IMU) combining a 3-axis accelerometer and a 3-axis gyroscope. This compact, low-power sensor provides precise motion and orientation tracking, making it ideal for wearable devices, robotics, drones, gaming, and health monitoring applications. With the Qwiic connector onboard, the SEN-18020 simplifies I2C connectivity, enabling easy plug-and-play integration with compatible Qwiic-enabled microcontroller platforms like Arduino or Raspberry Pi. The LSM6DSO sensor excels with its embedded machine learning core and sensor fusion algorithms, which help offload computational tasks from the host processor, improving efficiency and responsiveness. Operating at 3.3V with built-in voltage regulation and level shifting, the breakout is compatible with both 3.3V and 5V systems. It supports adjustable output data rates and multiple power-saving modes, ensuring flexibility for various application needs. The sensor offers features like free-fall detection, step counting, and activity recognition, enhancing its usability for advanced motion-sensing projects. Overall, the SparkFun SEN-18020 provides a reliable, versatile solution for developers looking to implement accurate motion tracking with minimal wiring and hassle.

Specifications

Sensor LSM6DSO 6DoF IMU
Sensors Included 3-axis accelerometer, 3-axis gyroscope
Interface I2C via Qwiic connector (1mm JST)
Operating Voltage 3.3V (with onboard level shifting for 5V compatibility)
Power Consumption Ultra-low power with multiple power modes
Embedded Features Machine learning core, sensor fusion, step counting, free-fall detection
Data Rates Configurable output data rates up to 1.66 kHz (gyro) and 1.66 kHz (accel)
Applications Wearables, robotics, drones, gaming, health monitoring

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