ADXL345 Accelerometer Module

The ADXL345 3-Axis Digital Accelerometer Module is a compact, high-performance, and ultra-low-power motion sensing module designed to accurately measure acceleration, tilt, orientation, vibration, and movement along the X, Y, and Z axes. Based on the Analog Devices ADXL345 MEMS accelerometer IC, the module delivers precise digital acceleration data through I²C or SPI communication interfaces, making it ideal for embedded systems and motion-sensitive applications.

The ADXL345 provides high-resolution acceleration measurement with selectable ranges of ±2g, ±4g, ±8g, and ±16g, allowing it to detect both subtle movements and rapid acceleration. Its 13-bit resolution enables accurate measurement of static acceleration, such as gravity for tilt sensing, as well as dynamic acceleration caused by movement, vibration, impact, or shock.

Designed for low-power operation, the module is widely used in robotics, drones, wearable electronics, gaming controllers, industrial monitoring systems, vibration analysis, smart devices, IoT applications, and educational electronics projects. Its digital output eliminates many of the noise issues associated with analog sensors, providing stable and reliable measurements even in electrically noisy environments.

The ADXL345 module is fully compatible with popular development platforms including Arduino, ESP32, ESP8266, Raspberry Pi, STM32, PIC, AVR, NodeMCU, and other microcontroller systems. Its compact PCB design, extensive software library support, and simple interface make it suitable for beginners as well as professional developers.

Working Principle

The ADXL345 uses Micro-Electro-Mechanical Systems (MEMS) technology to detect acceleration along three perpendicular axes (X, Y, and Z). Inside the sensor, microscopic movable structures respond to changes in acceleration by shifting their position.

These tiny mechanical movements cause changes in capacitance, which are measured by the integrated signal processing circuitry. The sensor converts these measurements into high-resolution digital acceleration values.

The measured acceleration includes both static acceleration, such as gravity, and dynamic acceleration caused by movement, vibration, shock, or impact. By continuously monitoring acceleration on all three axes, the module can determine object orientation, tilt angle, motion, free-fall events, and vibration.

The processed digital data is transmitted to the microcontroller through either the I²C or SPI communication interface for real-time analysis and control.

Key Features

High-performance 3-axis digital accelerometer.

Measures acceleration along X, Y, and Z axes.

High-resolution 13-bit digital output.

Selectable measurement ranges of ±2g, ±4g, ±8g, and ±16g.

Supports both I²C and SPI communication interfaces.

Ultra-low power consumption.

Excellent noise performance.

Built-in motion detection.

Free-fall detection capability.

Activity and inactivity detection.

Tap and double-tap detection.

Compact PCB design.

Fast response and high measurement accuracy.

Compatible with Arduino, ESP32, ESP8266, Raspberry Pi, STM32, PIC, AVR, NodeMCU, and other microcontrollers.

Wide software library support.

Suitable for industrial, educational, and commercial applications.

Technical Specifications

Sensor IC: ADXL345

Sensor Type: 3-Axis MEMS Accelerometer

Measurement Axes: X, Y, Z

Measurement Ranges: ±2g, ±4g, ±8g, ±16g

Resolution: Up to 13-bit

Communication Interface: I²C and SPI

Operating Voltage (Sensor IC): 2.0V–3.6V

Module Supply Voltage: Typically 3.3V–5V (depending on module version)

Output Type: Digital

Power Consumption: Ultra Low

Motion Detection: Supported

Free-Fall Detection: Supported

Tap Detection: Single and Double Tap

Operating Temperature: Suitable for standard indoor operating environments

Module Type: Digital Accelerometer Sensor

Applications

Motion detection systems.

Tilt and inclination measurement.

Self-balancing robots.

Quadcopters and drones.

Gesture recognition devices.

Wearable electronics.

Gaming controllers.

Industrial vibration monitoring.

Machine condition monitoring.

Shock and impact detection.

IoT monitoring systems.

Navigation and positioning applications.

Automotive motion sensing.

Educational electronics projects.

Research and laboratory experiments.

DIY electronics and prototype development.