Smart Motion Sensors and TinyML Applications for Always-On Edge Computing

Explore a technical talk that delves into the capabilities of smart motion sensors and their role in distributed machine learning for edge computing solutions. Learn about STMicroelectronics' ultra-low-power 6-axis inertial sensor (LSM6DSV16X) featuring Machine Learning Core (MLC) and Finite State Machine (FSM) technologies for motion pattern recognition and vibration detection. Discover how these sensors execute decision trees within their built-in MLC, making them ideal for always-on applications in wearables and wireless sensor nodes while maintaining minimal power consumption. Gain insights into neural network conversion tools like STM32Cube.AI that facilitate the conversion of pre-trained Machine Learning models into optimized C code for STM32, and understand the middleware solutions available for integration with popular mobile platforms such as Android for consumer, industrial, and automotive applications.