This project was conceived for the TensorFlow Microcontroller Challenge and it's a simple realization of a trackpad-like, AI-powered, programmable "touch" surface made of cheap LDRs (light dependant resistors). In it's current form, it is a small surface, but I see scaling it up to create big touch surface, without the expensiveness of true touch sensing.
Painless TinyML Convolutional Neural Network on your Arduino and STM32 boards: the MNIST dataset example!
Are you fascinated by TinyML and Tensorflow for microcontrollers?
Do you want to run a CNN (Convolutional Neural Network) on your Arduino and STM32 boards?
Do you want to do it without pain?
EloquentTinyML is the library for you!
This will be the most detailed, easy to follow tutorial over the Web on how to implement Wifi indoor positioning using an Arduino microcontroller and Machine Learning. It contains all the steps, tools and code from the start to the end of the project.
ri-elaborated from https://www.accuware.com/blog/ambient-signals-plus-video-images/
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