Well, of course that data is in the “cloud” of a capitalist company willing to sell access to it to anyone… But that doesn’t mean I am okay with you being that anyone!
I was investigating if these algorithms could be used in an embedded environment. Basically I implemented a load monitor on a raspberry pi using a pretty basic machine learning algorithm and checked performance. Performance wise it worked out pretty well but the accuracy was pretty bad on real world data. Like 50%. Of you’re interested in how it works I can give some more info.
Valid point about privacy issues. But actually this topic is also interesting in an industrial context when you want to know how much your machines are using to optimise your factory. But yeah, it always depends on how you use it.
It’s more the kitchen appliances that I use aren’t the ones people bought as gifts… seriously that combined air fryer/pressure cooker/five-other-cooker-things is… annoying.
(I just have an instapot+slow cooker, immersion blender+blender+food processor that I have to hide from certain family, the absence of the “all in ones” would start a fight.)
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