Product description
Looking for an extremely accurate way to detect motion utilizing AI? We've got you covered with the Qwiic-enabled, SparkFun LSM6DSV16X Micro 6DoF IMU Breakout. The LSM6DSV16X, from STMicroelectronics, is a high-performance, low-power 6-axis IMU, featuring a 3-axis digital accelerometer, and a 3-axis digital gyroscope, with a triple core for processing acceleration and angular rate data on three separate channels (user interface, OIS, and EIS) with dedicated configuration, processing, and filtering. With its 0.3in. x 0.75in. Qwiic Micro footprint, this accelerometer will fit into most, if not all of your smallest projects.
The triple core of the LSM6DSV16X enables processes in 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 contextual awareness with exportable AI features for IoT applications.
Additionally, Qvar (electric charge variation detection) is embedded in the LSM6DSV16X for user interface functions like tap, double tap, triple tap, long press, or L/R - R/L swipe.
* Qwiic Micro Sized Board (0.75in x 0.30in / 19.05mm x 7.62mm)
* I2C addresses: 0x6B (Default), 0x6A
* * Triple core for UI, EIS, and OIS data processing
* "Always-on" experience with low power consumption for both accelerometer and gyroscope
* Smart FIFO up to 4.5KB
* Android compliant
* ±2/±4/±8/±16 g full scale
* ±125/±250/±500/±1000/±2000/±4000 dps full scale
* SPI / I²C & MIPI I3C® v1.1 serial interface with main processor data synchronization
* Auxiliary SPI for OIS data output for gyroscope and accelerometer
* 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
* Programmable finite state machine for accelerometer, gyroscope, and external sensor data processing with high rate @ 960 Hz
* Machine learning core with exportable features and filters for AI applications
* Embedded Qvar (electrostatic sensor) for user interface functions (tap, double tap, triple tap, long press, L/R - R/L swipe)
* Embedded analog hub for ADC and processing analog input data
* Embedded sensor fusion low-power algorithm
* Embedded temperature sensor
* Analog supply voltage: 1.71V to 3.6V
* Independent IO supply (extended range: 1.08V to 3.6V)
* Power consumption: 0.65mA in combo high-performance mode
* 1x Qwiic Connector
The triple core of the LSM6DSV16X enables processes in 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 contextual awareness with exportable AI features for IoT applications.
Additionally, Qvar (electric charge variation detection) is embedded in the LSM6DSV16X for user interface functions like tap, double tap, triple tap, long press, or L/R - R/L swipe.
* Qwiic Micro Sized Board (0.75in x 0.30in / 19.05mm x 7.62mm)
* I2C addresses: 0x6B (Default), 0x6A
* * Triple core for UI, EIS, and OIS data processing
* "Always-on" experience with low power consumption for both accelerometer and gyroscope
* Smart FIFO up to 4.5KB
* Android compliant
* ±2/±4/±8/±16 g full scale
* ±125/±250/±500/±1000/±2000/±4000 dps full scale
* SPI / I²C & MIPI I3C® v1.1 serial interface with main processor data synchronization
* Auxiliary SPI for OIS data output for gyroscope and accelerometer
* 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
* Programmable finite state machine for accelerometer, gyroscope, and external sensor data processing with high rate @ 960 Hz
* Machine learning core with exportable features and filters for AI applications
* Embedded Qvar (electrostatic sensor) for user interface functions (tap, double tap, triple tap, long press, L/R - R/L swipe)
* Embedded analog hub for ADC and processing analog input data
* Embedded sensor fusion low-power algorithm
* Embedded temperature sensor
* Analog supply voltage: 1.71V to 3.6V
* Independent IO supply (extended range: 1.08V to 3.6V)
* Power consumption: 0.65mA in combo high-performance mode
* 1x Qwiic Connector
