What 2022 Arduino Week Challenge Are You Interested In?

RE: What 2022 Arduino Week Challenge Are You Interested In?

dubbie — Fri, 04 Mar 2022 13:18:15 GMT

This looks a very nice board. Sadly at £50 I think it is too expensive for me. Can we use Nano 33 or MKR boards instead as I already have these? Not entirely sure what I might do, maybe use the motion sensor on a two legged walking robot or maybe on one of these four legged dog like platforms.

Dubbie

RE: What 2022 Arduino Week Challenge Are You Interested In?

javagoza — Fri, 04 Mar 2022 07:20:35 GMT

Arduino week is an event that spreads happiness but this year is special for everyone, we have gone from being aware of not getting sick from COVID-19 to fearing "war".

As a father of a family there is something that worries me and that does not let me sleep these days: How could we help the people of Ukraine?

The Arduino Nicla Sense ME board can be used to build many solutions that help improve the living conditions of the people of Ukraine, it could help to classify different types of explosions, air quality patterns, monitor habitability of bomb shelters, underground orientation with dead reckoning.

RE: What 2022 Arduino Week Challenge Are You Interested In?

genebren — Thu, 03 Mar 2022 23:07:06 GMT

I think that this would make a great machine controller. I have a client that builds animatronic displays (Halloween Props). I am currently working on a project for him to directly control elements of these displays by using realtime motions of an hidden actor(s) as opposed to prerecorded sequences. I could easily see that the Nicla Sense ME board would make an excellent controller for this application, as well as many other forms of machine (robot) control.

RE: What 2022 Arduino Week Challenge Are You Interested In?

javagoza — Thu, 03 Mar 2022 19:17:15 GMT

The Nicla Sense ME board looks great. I would love to try the connection with my Arduino MKR Vidor 4000 and also adapt my environmental monitor to that board, make it portable, reduce power consumption and also monitor physical activity.

Training a machine learning model well takes a lot of time. I don't know OpenML, but if I have done some projects with Edge Impulse, it will be a good opportunity to learn about OpenML.