Explore image-based target identification on a tiny RISC-V multi-core application processor in this 20-minute talk from the EMEA 2021 tinyML conference. Delve into the new technology used to design a next-generation hearable platform based on RISC-V multicore processors. Learn how GAP9 delivers exceptional audio quality with ultra-low latency, enabling implementation of cutting-edge algorithms like ANC, noise reduction, and spatial sound. Cover topics including smart camera design, Gap8 MCU, Autotalia tool, experimental results, and object classification. Gain insights from Manuele RUSCI, an Embedded Machine Learning Engineer at Greenwaves, as he presents this innovative approach to tiny machine learning applications.
Overview
Syllabus
Introduction
Smart Camera
Design
Gap8 MCU
Autotalia tool
Experimental results
Object classification
Conclusion
Questions
Sponsors
Taught by
tinyML