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/SPI7MHz
• 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

• 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.

Useful Links:

• Product wiki
• Schematic
• Dimension
• Datasheet

Package Included:

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