How to deploy machine learning on Arduino devices
Arduino single-board microcontrollers have been widely used in many Internet of thing (IoT) applications. Arduino devices are powerful, simple to use, cheap, and have great community supports. So, it is no doubt that these devices will be great choices for many embedded applications.
The question is whether machine learning applications can be deployed directly into Arduino devices? How to design those machine learning applications for Arduino devices?
People say it is impossible as Arduino devices with limited memory resources will not be suitable for machine learning applications. However, ANSCENTER announces that ANNHUB is the first machine learning software in the world that allows you to design a proper Neural Network and even advanced Bayesian Neural Networks that can be deployed directly into Arduino devices. No dependencies required.
Most importantly, ANNHUB is free to use. Let try it yourself.
You can checkout how ANNHUB generate AI code for Arduino device at ANSCENTER YouTube channel.
For more information, please visit ANSCENTER blog to see how we can classify three different types of IRIS followers by using AI on the Blue Pill (STM32duino) Arduino device.