High-end, low-noise, low-power IMU with dual accelerometer for edge AI
In a small package, LSM6DSV320Xl IMU from STMicroelectronics integrates a dual 3-axis digital accelerometer for low-g and high-g, in addition to a 3-axis digital gyroscope.
This IMU sensor adds processing for acceleration and angular rate data on four separate channels to support user interface, optical image stabilizer (OIS), electronic image stabilization (EIS), and high-g accelerometer data.
For edge AI computing, configurable motion tracking is supported by the programmable finite state machine (FSM) which processes accelerometer, gyroscope, and external sensor data at a high 960 Hz rate. The machine learning core (MLC) offers context awareness with exportable features and filters for AI applications.
The adaptive self-configuration (ASC) in the LSM6DSV320X IMU optimizes power consumption. This enables the sensor to automatically adjust its settings in real time after a specific motion pattern or signal from the MLC is detected, and without intervention from the host processor.
For spatial orientation there is sensor fusion low-power (SFLP) technology, and the IMU offers standard interrupts for free-fall, wake-up, 6D/4D orientation, click and double click, high-g wake-up and high-g shock.
The dedicated accelerometer sensor has an independent channel and filtering for high-g acceleration detection. This meets the shock requirements for sports, and for the detection of concussion and shock in addition to a range of car crash applications.
The LSM6DSV320X has an I2C voltage range from 1.62V to 3.6V, and an extended voltage range of 1.08V to 3.6V for the SPI and MIPI I3C® interface. The supply current in combo high-performance mode is 0.67mA in a 6-axis configuration, and 0.80mA in a 9-axis configuration.
The new range of applications which can benefit from this IMU includes emergency calls, fall or drop reconstruction, intense movement tracking and concussion monitoring.