How to find the right Acceleration Sensors AI guide
Written by an AI model from its trained knowledge.
What the AI looks for in Acceleration Sensors
- Measurement range
- Choose full-scale g range just above the largest expected acceleration. Typical options are ±2 g for tilt and ±16 g or more for impact. Too wide a range wastes resolution; too narrow a range clips the signal.
- MEMS vs piezoelectric
- Use MEMS (capacitive) for tilt and static (DC) acceleration. Use piezoelectric/IEPE for high-frequency vibration. Piezo sensors cannot measure static gravity; most MEMS parts have limited bandwidth.
- Noise density and bandwidth
- Compare noise density in µg/√Hz and usable bandwidth in Hz on the datasheet. Low noise separates precision parts from motion-detection parts.
- Interface and voltage
- Breakout boards use I2C/SPI or analog outputs. Check the 3.3 V vs 5 V tolerance and onboard level shifting. This determines whether the board works with your microcontroller as-is.
Brands that matter
- Analog Devices: ADXL family, from hobby parts to low-noise precision parts.
- STMicroelectronics: LIS and LSM families, widely used and well documented.
- Bosch Sensortec: BMA and BMI accelerometers/IMUs with good low-power options.
- TDK InvenSense: IMUs; check that the specific part is not end-of-life.
- Adafruit: Well-documented breakout boards with maintained libraries.
- SparkFun: Breakout boards with open hardware and example code.
- PCB Piezotronics: Industrial and lab IEPE accelerometers.
What to avoid
- Starting new designs on end-of-life IMU chips sold as cheap clone boards.
- Using a MEMS hobby breakout for machine vibration analysis above its rated bandwidth.
Questions
Accelerometer or IMU?
An accelerometer measures linear acceleration and tilt only. Add a gyroscope (6-axis IMU) if you need rotation rate or orientation during motion.