LSM6DSOXTR

ST
LSM6DSOXTR
LGA-14L(2.5x3x0.83mm)
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FAQ

Q: How do I train the MLC for drone-specific motion classification?
A: Use ST's Unico GUI: (1) Collect labeled IMU data logs for each target class (hover, forward flight, flip, crash). (2) Use Unico's feature extraction tool to compute statistical features (mean, variance, peak, zero-crossing rate, spectral energy) from the raw data. (3) Train a decision tree

Q: Does the MLC consume additional power?
A: Negligibly. The MLC runs on dedicated ultra-low-power digital logic within the IMU ASIC, adding approximately 10–20 µA to the total sensor current. This is 2–4% of the 0.55 mA combo-mode current — essentially free from a power budget perspective. The CPU cycles saved by offlo

Q: Is the LSM6DSOXTR a drop-in replacement for LSM6DS3?
A: Yes, physically. Same LGA-14L (2.5×3 mm) package and pinout. Firmware must be updated to initialize the MLC/FSM registers and handle the extended FIFO control — but basic IMU functionality (reading gyro/accel data) works with existing LSM6DSO drivers. Betaflight's LSM6DSO target sup

1. Product Overview

The LSM6DSOXTR is STMicroelectronics' advanced 6-axis IMU featuring an embedded Machine Learning Core (MLC) and Finite State Machine (FSM) for on-chip motion pattern recognition. With 3.8 mdps/√Hz gyro noise, 80 µg/√Hz accel noise, a massive 9 KB FIFO, and MIPI I3C support, it delivers premium IMU performance for drone flight controllers requiring intelligent sensor data processing. The MLC runs decision-tree classifiers trained via ST's Unico GUI tool, enabling on-IMU classification of flight modes, vibration anomalies, and crash events without burdening the flight controller CPU. This makes the LSM6DSOXTR the reference IMU for AI-enhanced Betaflight targets, autonomous drone sensor pods, and industrial UAV predictive maintenance systems. In drone applications,

2. Key Features

  • Machine Learning Core — On-Chip Flight Mode Classification
  • 3.8 mdps/√Hz Gyro + 80 µg/√Hz Accel — Premium Sensor Performance
  • 9 KB FIFO with Compression — Maximum Data Buffer Depth
  • MIPI I3C + I²C + SPI — Triple Interface Flexibility
  • FSM for Autonomous Event Handling — Zero-CPU Event Detection

3. Technical Specifications

ParameterValue
ManufacturerSTMicroelectronics
Part NumberLSM6DSOXTR
Type6-Axis IMU: Accel + Gyro + ML Core
Accel Range±2/4/8/16 g
Gyro Range±125/250/500/1000/2000 dps
Accel ODR1.6 Hz – 6.66 kHz
Gyro ODR12.5 Hz – 6.66 kHz
Gyro Noise3.8 mdps/√Hz
Accel Noise80 µg/√Hz
FIFO9 KB
MLC/FSMYes — Machine Learning Core + Finite State Machine
InterfaceI²C (1 MHz) / SPI (10 MHz) / MIPI I3C
Current0.55 mA (combo HP mode)
Supply1.71V – 3.6V
PackageLGA-14L (2.5×3×0.83 mm)
Temperature−40°C to +85°C

4. Applications

  • AI-Enhanced Betaflight F7/H7 Flight Controllers
  • Autonomous Industrial UAV Sensor Pods
  • Predictive Maintenance for Commercial Drone Fleets
  • PX4/ArduPilot Dual-IMU Redundancy with AI Monitoring
  • Gesture-Controlled & Autonomous Drones

5. Supply Solutions

Aurora supports customers with LSM6DSOXTR — Advanced 6-Axis IMU with Machine Learning Core for Intelligent Drone FC by STMicroelectronics sourcing through verified global supply channels. We help OEMs and manufacturers manage availability challenges, production requirements, and lifecycle risks with flexible procurement solutions.

6. Quality Assurance

All components supplied by Aurora follow strict quality control procedures, including supplier verification, documentation review, inspection, and traceability management to ensure product authenticity and reliability.

7. Alternative & Replacement Solutions

When original LSM6DSOXTR — Advanced 6-Axis IMU with Machine Learning Core for Intelligent Drone FC by STMicroelectronics components face shortages, lifecycle changes, or long lead times, Aurora helps customers identify suitable alternative components based on technical requirements, application needs, and supply conditions.

8. Request Quote / Contact

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