Portfolio
Here you can find showcases of some of the work I have done as part of my research. Just click on the links to learn more and watch the demo videos.
This demonstration shows a deep neural network running on an Arduino Nano 33 BLE Sense microcontroller performing keyword spotting. The DNN can distinguish 36 different spoken keywords (Pete Warden’s Speech Commands dataset), infers at about 800ms per 1 second audio sample, and requires 190KB of ROM and 111KB of RAM.
Demo of on-device DNN training of an animal classification dataset with 10 classes on a STM32H743VI ARM Cortex-M7 microcontroller (OpenMV H7 R2).
Demo of MicroYOLO person detection on a STM32H743VI ARM Cortex-M7 based microcontroller (OpenMV H7 R2).
