OTONOCO Medical AI at your Fingertips Phase 2 - Microcontrollers & Single Board Computers

The Second Phase - Embedded AI on Microcontrollers and Pi

OTONOCO is entering the second phase of 'AI at your Fingertips' AIYF development. AIYF This is initiative to embed complex deep learning models on iOS and Android devices. We are extending this capability to tiny microcontrollers and single board computers.

We are delighted to share some of the best resources and hardware used for prototyping embedded AI models on microcontrollers and single board computers, measured by usefulness, usability, compatibility, portability, versatility and cost. STM32 and NVIDIA Jetson were omitted due to compatibility, versatility and cost. Arduino Alvik steps in to take its place.

First Phase - iOS and Android

First phase of development covers deep learning computer vision models for medical image evaluation on iOS and Android devices:

More importantly, kids are having fun too and blending in easily

So, machine learning's rating is now downgraded from R to PG13 to U.

With the help of Generative AI and smart glasses like META Ray Ban glasses, knowledge, skills and experience can be recorded, stored, packaged and transferred to other people to create a population of INVENTORS. This redefines the purpose of education from getting good grades and scrolls to becoming inventors.

WE hope to bring this development not just to the medical community but to the masses in the near future.

Past Experiments

Robot Operating System for Autonomous Vehicles Series:

Part 3 Episode 2: Deep Learning for Vehicle Dynamics on Arduino Microcontroller