Leverage on the Machine Learning Core capabilities to optimize activity recognition with the lowest power consumption solution.
This video tutorial shows how to easily configure a silicon-embedded advanced pedometer feature, using ST’s new generation of iNEMO™ Inertial Measurement Units (IMU).
LSM6DSOX IMU embeds a Machine Learning Core able to run with only 5 uA, to pre-process and classify information coming from its internal gyro and accelerometer plus up to 4 external sensors to save system-level power since the main MCU can be put in sleep mode for significant amount of time.
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EDA Symbols, Footprints and 3D Models
STMicroelectronics - LSM6DSO32X
Speed up your design by downloading all the EDA symbols, footprints and 3D models for your application. You have access to a large number of CAD formats to fit with your design toolchain.
Quality and Reliability
|Part Number||Marketing Status||Package||RoHS Compliance Grade||Material Declaration**|
|VFLGA2.5X3X.86 14L P.5 L.475X.25||Ecopack2|
(**) The Material Declaration forms available on st.com may be generic documents based on the most commonly used package within a package family. For this reason, they may not be 100% accurate for a specific device. Please contact our sales support for information on specific devices.
Sample & Buy
|Part Number||Order from distributors||Order from ST||Marketing Status||ECCN (US)||ECCN (EU)||Packing Type||Package||Temperature (°C)||Country of Origin||Budgetary Price (US$)*/Qty|
|LSM6DSO32XTR|| distributors |
Distributor availability of LSM6DSO32XTR
Distributor reported inventory date:
| Buy from Distributor || |
|EAR99||NEC||Tape and Reel||VFLGA2.5X3X.86 14L P.5 L.475X.25||-40||85||PHILIPPINES|| |
Tape and Reel
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