"Smart motion sensors offer a world of always-on possibilities: TinyML use cases and applications"

Mahesh Chowdhary, Ph.D.
Fellow, Senior Director MEMS Software Solutions
STMicroelectronics

Smart motion sensors are enabling distributed machine learning to significantly reduce bandwidth for more responsive, energy-conscious edge computing solutions. ST's latest ultra-low-power 6-axis inertial sensor (LSM6DSV16X) comes with a Machine Learning Core (MLC) and Finite State Machine (FSM) to enable motion pattern recognition or vibration detection. These smart inertial sensors have the capability to execute decision trees in the built-in MLC of the sensor which is ideal for always-on applications for wearables or wireless sensor nodes with a current consumption of only a few microamps.
To help companies stay ahead of the design curve and get their products to market quicker, powerful neural network conversion tools like our STM32Cube.AI make it easy to import and convert pre-trained Machine Learning or Neural Network models into optimized C code for STM32. In addition, middleware is available for easy integration with popular mobile platforms, such as Android, which are commonly used to build smart devices for consumer, industrial, and automotive applications.

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