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DFRobot

DFRobot Fermion ICG 20660L 6-Axis IMU Module: Accelerometer & Gyroscope Breakout Board With I2C Interface

DFRobot Fermion ICG 20660L 6-Axis IMU Module: Accelerometer & Gyroscope Breakout Board With I2C Interface

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Regular price Rs. 2,424.00
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Delivery Time

  • Delivery time with the Express Shipping option is 2-3 working days, and with the Standard Shipping option is 5-6 working days. It varies based on location, reliant on courier services.

  • Delivery time if the order item is on Preorder Status is 15-20 working days.

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Description:

The ICG-20660L is a high-precision 6-axis IMU module that integrates a 3-axis accelerometer(±2/4/8/16g), a 3-axis gyroscope(±125/250/500dps), and on-chip 16-bit ADCs.

With up to ±1% initial sensitivity and low noise(6.5mdps/√Hz), it is very suitable for anti-shaking applications.

The 6-axis motion sensor includes 512-byte FIFO to reduce traffic on the serial bus interface. Also, it features functions like programmable interrupts, and FSYNC (frame synchronization), which can be used with other image/video capture devices to build up OIS (Optical Image Stabilization)/ EIS (Electric Image Stabilization) projects.

Additionally, the small size of the sensor makes it more flexible for various scenarios.

Specifications:

  • Operating Voltage: 3.3V
  • Current Consumption: 140uA (sleep mode)/ 520uA (Accelerometer mode only)/ 4.27mA (Gyro mode only)/ 4.9mA (accelerometer and gyro mode)
  • Initial Sensitivity: accelerometer ±1%; gyro ±1%
  • Non-linear Sensitivity: accelerometer ±0.5%, gyro ±0.1%
  • Interface: I2C/SPI(7MHz)
  • Selectable Scale: ±2g/±4g/±8g/±16g
  • Gyroscope Range: ±125/±250/±500dps
  • Operating Temperature Range: -40~85℃

Features:

  • High Precision
  • Low Noise

Applications

  • Digital Camera/Phone Camera
  • Anti-shaking applications
  • Enhanced Virtual Reality Equipment

Projects

Introduction: ChatGPT has gained immense popularity recently, and the system has even been down due to a significant surge in usage. This aroused my interest in Machine Learning. I learned that TinyML enables the deployment of ML models on edge devices with limited resources, such as MCUs. So I decided to explore it by embarking on a simple project.

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Package Included:

  • 1 x Accel+Gyro 6-Axis IMU Module Breakout
  • 1 x Pin Header Black-8P
  • 1 x Pin Header Black-4P