Name: Fermion: ICG 20660L Accel+Gyro 6-Axis IMU Module (Breakout)
Brand: DFRobot
SKU: SEN0443
Price: 19.9 USD
Availability: InStock

Introduction

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.

Connections: I2C 0x69(Default)/ 0x68

Features

High Precision

Low Noise

Applications

Digital Camera/Phone Camera

Anti-shaking applications

Enhanced Virtual Reality Equipment

Specification

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℃

Dimension: 22x15mm/ 0.87x0.59"

Projects

Project 1. DIY A Simple Three-axis Accelerometer Data Logger

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.

6-Axis IMU Module project