STMicroelectronics LSM6DSV320X
LSM6DSV320X - 6-axis IMU (inertial measurement unit) with high-g accelerometer, embedded AI, and sensor fusion for high-end applications, car crash detection
The LSM6DSV320X is a high-end, low-noise, low-power, small IMU, featuring a 3-axis digital low-g accelerometer at 16 g, a 3-axis digital high-g accelerometer at 320 g, and a 3-axis digital gyroscope, which offers the best IMU sensor with a quad-channel architecture for processing acceleration and angular rate data on four separate channels (user interface, OIS, EIS, and high-g accelerometer data) with dedicated configuration, processing, and filtering along with a dedicated high-g sensor for high-g shock and car crash detection.
The device enables edge computing, leveraging embedded advanced dedicated features such as a finite state machine (FSM) for configurable motion tracking and a machine learning core (MLC) for context awareness with exportable AI features for IoT applications.
The LSM6DSV320X supports the adaptive self-configuration (ASC) feature, which allows automatically reconfiguring the device in real time based on the detection of a specific motion pattern or based on the output of a specific decision tree configured in the MLC, without any intervention from the host processor.
The device embeds a dedicated accelerometer sensor with an independent channel and filtering for high-g acceleration detection that perfectly matches shock requirements for sports, concussion detection, shock detection, and a full range of car crash detection applications.
Features
- Quad-channel architecture for UI, EIS, OIS, and high-g data processing
- "Smart, always-aware" experience for system power optimization
- Smart FIFO up to 4.5 KB
- Dual accelerometer channels
- Low-g channel ±2/±4/±8/±16 g full scale
- High-g channel ±32/±64/±128/±256/±320 g full scale
- ±250/±500/±1000/±2000/±4000 dps full scale
- SPI / I²C & MIPI I3C® v1.1 serial interface with main processor data synchronization
- Auxiliary SPI & MIPI I3C® v1.1 for OIS data output for gyroscope and accelerometer
- OIS configurable from the auxiliary or primary interface
- EIS dedicated channel on primary interface with dedicated filtering
- Advanced pedometer, step detector, and step counter
- Significant motion detection, tilt detection
- Standard interrupts: free-fall, wake-up, 6D/4D orientation, click and double click, high-g wake-up and high-g shock
- Programmable finite state machine for accelerometer (high-g & low-g), gyroscope, and external sensor data processing with high rate @ 960 Hz
- Machine learning core with exportable features and filters for AI applications
- Embedded adaptive self-configuration (ASC)
- Embedded sensor fusion low-power (SFLP) algorithm
- Embedded temperature sensor
- Independent I/O supply
- I²C voltage range: 1.62 V to 3.6 V
- SPI / MIPI I3C® extended voltage range: 1.08 V to 3.6 V
- Supply current
- 6-axis configuration @ 0.67 mA in combo high-performance mode
- 9-axis configuration @ 0.80 mA in combo high-performance mode
- Compact footprint: 2.5 mm x 3 mm x 0.83 mm
- ECOPACK and RoHS compliant
Benefits
- High impact tracking
- Context identification
- Efficiency
Applications
- IoT and connected devices
- Asset tracking
Free STEVAL-MKI109D boards available now
We have a very limited number of evaluations boards up for grabs. Fill in the form below to submit your application.
Tools & software
We have a very limited number of evaluations boards up for grabs. Fill in the form below to submit your application.
- STEVAL-MKI251A
- STEVAL-MKI109D
- STEVAL-MKBOXPRO
- X-CUBE-MEMS1
- MEMS-Studio
STEVAL-MKI251A
LSM6DSV320X adapter board for a standard DIL24 socket
The STEVAL-MKI251A is an adapter board designed to facilitate the evaluation the LSM6DSV320X 6-axis IMU (inertial measurement unit).
The board offers an effective solution for fast system prototyping and device evaluation directly within the user’s own application.
The STEVAL-MKI251A can be plugged into a standard DIL 24 socket. The adapter provides the complete LSM6DSV320X pinout and comes ready-to-use with the required decoupling capacitors on the VDD power supply line.
STEVAL-MKI109D
Professional MEMS tool: evaluation board for all ST MEMS sensors
STEVAL-MKI109D is an evaluation platform that allows engineers to monitor the behavior of ST MEMS sensorsn and maximize the performance of new product designs, accelerating time to market.
This board is compatible with ST MEMS adapter boards and supports I2C, I3C, SPI, and TDM communication interfaces for very high output data rates.
This professional MEMS tool features a high-performance STM32H563ZI microcontroller and flexible power management with software-adjustable power circuitry that allows you to set the sensor supply voltage from 0 to 3.6 V and replicate the operating conditions in the target application.
STEVAL-MKBOXPRO
SensorTile.box PRO with multi-sensors and wireless connectivity for any intelligent IoT node
The STEVAL-MKBOXPRO (SensorTile.box PRO) is the new ready-to-use programmable wireless box kit for developing any IoT application based on remote data gathering and evaluation, exploit the full kit potential by leveraging both motion and environmental data sensing, along with a digital microphone, and enhance the connectivity and smartness of whatever environment you find yourself into.
You can entirely enjoy the SensorTile.box PRO experience regardless of your level of expertise, the box kit could be exploited according to three different modalities:
Entry mode: run a wide range of already embedded IoT applications on your box.
X-CUBE-MEMS1
Sensor and motion algorithm software expansion for STM32Cube
The X-CUBE-MEMS1 expansion software package for STM32Cube runs on the STM32 and includes drivers that recognize the sensors and collect temperature, humidity, pressure, and motion data. The expansion is built on STM32Cube software technology to ease portability across different STM32 microcontrollers. The software comes with a sample implementation of the drivers running on the X-NUCLEO-IKS4A1/X-NUCLEO-IKS01A3/X-NUCLEO-IKS02A1 expansion boards connected to a featured STM32 Nucleo development board. The software is also available on GitHub, where the users can signal bugs and propose new ideas through Issues and Pull requests tabs.
The software provides sample applications and advanced motion libraries: MotionAC accelerometer calibration, MotionAD airplane detection, MotionAR activity recognition, MotionAT active time, MotionAW activity recognition for wrist, MotionCP real-time carry position, MotionDI dynamic inclinometer, MotionEC real-time e-compass, MotionFA fitness activity, MotionFD real-time fall detection, MotionFX sensor fusion, MotionGC gyroscope calibration, MotionGR real-time gesture recognition, MotionGT gyroscope temperature calibration, MotionID motion intensity detection, MotionMC magnetometer calibration, MotionPE real-time pose estimation, MotionPM real-time pedometer library, MotionPW real-time pedometer for wrist, MotionSD standing vs sitting desk detection, MotionTL tilt measurement, MotionVC vertical context, InfraredAL approach and leave, InfraredPD presence and motion detection, BioVSM vital signs monitoring, MotionXLF high-g, low-g accelerometer fusion libraries.
MEMS-Studio
Software solution for MEMS sensors
MEMS-Studio is a complete desktop software solution designed to develop embedded AI features, evaluate embedded libraries, analyze data, and design no-code algorithms for the entire portfolio of MEMS sensors. This unique software solution offers a versatile development environment, enabling the evaluation and programming of all MEMS sensors, and launches a new generation of solutions to expand the functions of the well-established applications Unico-GUI, Unicleo-GUI, and AlgoBuilder.
MEMS-Studio facilitates the process of implementing proof of concept using a graphical interface without writing code for STM32 microcontrollers. This solution allows configuring sensors and embedded AI (machine learning and neural networks), leveraging on a machine learning core (MLC), neural networks for the ISPU, and finite state machines (FSM). It reuses embedded software libraries, combines multiple functionalities in a single project, and visualizes data in real time using plot and display.
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