Accelerometers measure linear acceleration. They can be also used for specific purposes such as inclination and vibration measurement. MEMS accelerometers embed several useful features for motion and acceleration detection, including free-fall, wakeup, single/double-tap recognition, activity/inactivity detection and 6D/4D orientation.
Our accelerometer portfolio
ST's state-of-the-art 3-axis MEMS accelerometers include analog and digital sensors featuring up to ±400g acceleration full scale and from 1.71 to 3.6 V supply voltage.
Ideal for low-power applications
ST's accelerometer sensors have advanced power-saving features that make them the ideal choice for ultra-low-power applications. These features include low-power mode, auto wake-up function and FIFO buffer that can be used to store data, thus reducing the host processor loading and system power consumption.
They are suitable for handheld portable applications such as mobile phones and PDAs, or any other application where low power consumption and reduced package size are required. The new generation of accelerometers, recently introduced by ST, makes a significant step forward in miniaturization, with packages sized only 2x2x1 mm, available with both 14 and 12-leads pinout.
For Automotive and Industrial applications
Discover how to implement a high accuracy static inclinometer application leveraging in machine learning capability embedded in the sensor.
ST’s IIS2ICLX inclinometer wins the CES 2021 Honoree Innovation Award in the Smart Cities category
The high-accuracy IIS2ICLX two-axis digital accelerometer is ideal for structural health monitoring and inclination measurements, combining high stability and repeatability, low noise, and ultra-low-power with support for Artificial Intelligence at the edge. It is included in ST’s 10-year longevity program.
The IIS2ICLX features:
- 2-axis digital plug-and-play inclinometer
- the highest performance in terms of resolution, accuracy, stability, and power consumption
- Ultra-low noise (15 µg/√Hz)
- A programmable Machine Learning core to integrate AI algorithms and reduce power consumption at system level
The unparalleled set of features, such as the Machine Learning Core (MLC), programmable Finite State Machines (FSM), FIFO, sensor hub capabilities, and event decoding and interrupts, provide fundamental support for low power intelligent sensor nodes to reduce data transfer rates and volumes to the cloud.
Thanks to its decision-tree algorithms, the IIS2ICLX significantly increases the autonomy of battery-operated applications by allowing nodes to remain in very low power standby until the sensor autonomously detects and classifies movement, vibration or variation in inclination.
New IIS3DWB sensing solution for wide scale adoption of vibration monitoring in Industry 4.0 applications
Optimized for high performance industrial vibration sensing, the 3-axis IIS3DWB MEMS accelerometer with an ultra-wide bandwidth and low-noise is a power-efficient and affordable digital sensing solution included in ST’s 10-year longevity program.
The IIS3DWB sensor is a key enabler of industrial vibration monitoring:
- it offers a 3-axis digital plug-and-play solution for a seamless and cost-effective adoption
- its wide and flat frequency response up to 6kHz and low noise ensure high-quality vibration data is collected
- the sensor low-power and extended temperature range up to +105°C is ideal for long-lasting, self-powered wireless sensor nodes and allows them to be retrofitted into existing systems
The STWIN SensorTile development kit (STEVAL-STWINKT1B) takes the prototyping of vibration monitoring solutions to the next level. It integrates the IIS3DWB sensor with numerous additional sensors and an ultra-low-power STM32L4+ MCU, and offers wired and wireless connectivity. Software libraries for vibration processing are also available, including a high-speed data logger for data scientists to develop algorithms.