ADXL345-3 Axis Digital Acceleration, Gravity and Tilt Sensor Module

The ADXL345 3-Axis Digital Accelerometer Module is a compact, low-power sensor that measures acceleration, gravity, and tilt in three axes (X, Y, Z). It provides high-resolution 13-bit measurement up to ±16g and communicates via I2C or SPI interface, making it ideal for motion detection, robotics, orientation sensing, and wearable projects. Compatible with Arduino, Raspberry Pi, and other microcontrollers.

ADXL345 Digital Accelerometer Module

The ADXL345 Digital Accelerometer Module is a highly accurate, 3-axis acceleration sensor designed for motion sensing, tilt measurement, vibration detection, and orientation tracking applications. Based on the Analog Devices ADXL345 IC, this module can measure both dynamic acceleration (motion or shock) and static acceleration (gravity), offering detailed insights into object position and movement.

This sensor supports both I2C and SPI digital interfaces, allowing flexible communication with a wide range of microcontrollers including Arduino, ESP32, STM32, and Raspberry Pi. With a selectable measurement range of ±2g to ±16g, it’s perfect for various robotics, IoT, and motion-based systems.

The ADXL345’s built-in features such as free-fall detection, tap/double-tap sensing, and activity/inactivity monitoring make it a versatile motion sensor for automation and wearable technology.


⚙️ Key Features & Highlights:

  • 📐 3-Axis Measurement (X, Y, Z): Measures acceleration and tilt in all directions.

  • ⚙️ Adjustable Measurement Range: ±2g / ±4g / ±8g / ±16g for different sensitivity levels.

  • 🔌 I2C and SPI Communication: Easily interface with Arduino, Raspberry Pi, or other controllers.

  • 💡 13-bit High Resolution Output: Ensures precise motion and tilt measurement.

  • 🧠 Onboard Motion Detection Functions: Includes tap, double-tap, free-fall, and activity detection.

  • Low Power Consumption: Ideal for battery-operated and portable applications.

  • 🔗 Compact PCB Design: Easy integration into embedded systems and DIY projects.

  • 🧩 Compatible With: Arduino Boards, Raspberry Pi Modules, and IoT Sensors.


⚙️ Technical Specifications:

Parameter Specification
Chipset ADXL345
Measurement Range ±2g, ±4g, ±8g, ±16g
Resolution 13-bit
Interface I2C and SPI
Supply Voltage 3.0V – 5.0V DC
Current Consumption < 140 µA
Communication Speed Up to 3.4 MHz (I2C)
Operating Temperature -40°C to +85°C
Free-Fall Detection Supported
Tap/Double Tap Detection Supported
PCB Dimensions Approx. 2.0 cm × 2.0 cm
Mounting Type Pin Header

⚙️ Working Principle:

The ADXL345 sensor measures the acceleration force acting on it. It detects both static forces (like gravity for tilt sensing) and dynamic forces (like movement or vibration). The onboard MEMS capacitive sensing structure changes capacitance in response to acceleration, which is then converted into a digital signal for microcontroller processing.

Using I2C or SPI communication, the sensor transmits data that can be interpreted for angle, vibration, movement detection, and gesture control applications.


⚙️ Applications:

  • 🤖 Robotics and automation systems

  • 📱 Motion sensing and gesture control

  • 🕹️ Gaming and interactive devices

  • ⚙️ Tilt and vibration detection

  • ⌚ Wearable devices and fitness tracking

  • 🛰️ Drones and UAV stabilization

  • 💡 Educational electronics and sensor projects


⚙️ Precautions:

  • ⚠️ Handle the sensor carefully; it’s sensitive to mechanical shock.

  • ⚠️ Always use correct voltage (3.3V/5V compatible).

  • ⚠️ Avoid moisture or static discharge during installation.

  • ⚠️ Ensure proper wiring for I2C or SPI before powering up.


▶️ YouTube Tutorial Video:

Watch: How to Interface ADXL345 Accelerometer with Arduino


🔗 Internal Links:


🔹 Product Summary:

The ADXL345 3-Axis Accelerometer Sensor Module is a reliable, versatile, and high-precision device ideal for detecting acceleration, tilt, and vibration. Its digital I2C/SPI interface, low power usage, and compact size make it perfect for modern electronics — from robotics to wearable and IoT projects.

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