Personal Computing Devices and Smart Sensors - Applications and Use Cases in Edge Computing
EDGE AI FOUNDATION via YouTube
Overview
Learn about smart sensor integration and edge computing applications in personal computing devices through this tinyML Summit 2023 presentation. Explore how STMicroelectronics' smart sensors with built-in Machine Learning Core and Finite State Machine capabilities enable distributed computing and reduced bandwidth requirements. Discover HP's implementation of these sensors for intelligent thermal and power management through AI model training for user activity recognition. Gain insights into the development process, from model generation to driver implementation, with a focus on practical applications like on-table detection and activity tracking. Understand how these innovations achieve always-on user experiences while maintaining extremely low power consumption in the micro-amp range, making them ideal for laptops, smartwatches, and wireless sensor nodes.
Syllabus
Introduction
HPs use cases
Smart Sensors
Advantages
Features
Process
HP
On Table Detection
Development Process
Model Generation
Drivers and Validation
Results
Taught by
EDGE AI FOUNDATION