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.
Useful Links:
Package Included:
- 1 x Accel+Gyro 6-Axis IMU Module Breakout
- 1 x Pin Header Black-8P
- 1 x Pin Header Black-4P
