Designing Multi-Modal Smart Human Machine Interfaces with Microcontrollers
EDGE AI FOUNDATION via YouTube
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Overview
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Watch a technical conference talk from the tinyML Summit 2023 where NXP Semiconductors Product Manager Sriram Kalluri demonstrates how to develop solution kits for next-generation smart human-machine interfaces using microcontrollers. Learn about implementing multi-modal, intelligent, hands-free capabilities including machine learning for face and gesture recognition, far-field voice control, and 2D graphical user interfaces on a single high-performance MCU. Discover how to perform machine learning applications entirely on edge devices without cloud dependency, addressing privacy and latency concerns. Gain insights into key design decisions for development kits that minimize time to market and development effort through integrated turnkey software, hardware reference designs, and flexible software frameworks for customizing vision and voice functions.
Syllabus
tinyML Summit 2023: Designing Multi-Model Smart Human Machine Interfaces with Microcontrollers
Taught by
EDGE AI FOUNDATION