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Visitor II
September 26, 2025
Solved

Several questions for LSM6DSOX during application

  • September 26, 2025
  • 1 reply
  • 489 views
  1. We bought the LSM6DSOX and installed into our equipment since 2021, please help to evaluate whether we need calibrate it. Are there any conditions that the sensor must be calibrated? Please show us the detailed steps for calibrating the sensor.
  2. Since the output acceleration information is very important for our application, could you 1) give us some reliability data from customer market (especially in Aviation Industry, we called FMEA: Failure Modes and Effects Analysis); 2) show us some basic principles for generating the acceleration data.
  3. From spec and application note of LSM6DSOX, we found it can support motion/stationary recognition, please show us more detail information with the reliability of this recognition and how to implement this function during practice.
  4. Are there any limitations or key points for installation of this sensor?
    This topic has been closed for replies.
    Best answer by Federica Bossi

    Hi @danial007 ,

    1. The LSM6DSOX is factory-calibrated for offset and sensitivity, providing good out-of-the-box accuracy for most applications. A calibration could be useful after mounting the sensor on your equipment, to compensate for installation misalignment or mechanical stress.

    2. For this kind of information you can open a ticket on OLS or contact your local FAE.

    3. The LSM6DSOX includes an embedded finite state machine (FSM) and machine learning core (MLC) that can classify motion states. It is possible to detect stationary, motion, free-fall, wake-up, and other events internally without continuous MCU intervention. On our official Github you can find some useful examples.

    4. It is suggested to follow our guideliness.

    1 reply

    Technical Moderator
    September 30, 2025

    Hi @danial007 ,

    1. The LSM6DSOX is factory-calibrated for offset and sensitivity, providing good out-of-the-box accuracy for most applications. A calibration could be useful after mounting the sensor on your equipment, to compensate for installation misalignment or mechanical stress.

    2. For this kind of information you can open a ticket on OLS or contact your local FAE.

    3. The LSM6DSOX includes an embedded finite state machine (FSM) and machine learning core (MLC) that can classify motion states. It is possible to detect stationary, motion, free-fall, wake-up, and other events internally without continuous MCU intervention. On our official Github you can find some useful examples.

    4. It is suggested to follow our guideliness.