Bruh. If AI is being taught to drive cars on the open road then I feel like cameras to detect what's in your fridge is pathetically easy in comparison and very much an AI task
Yeah, kinda. Except you'll likely need a camera or two for each shelf of the fridge (given the layout remains unchanged), and also you have to make sure they don't get covered with ice/spilled milk/whatever or blocked by a box of some stuff. Aaaalternatively, you install a receipt scanner and touch scrreen which asks you what you took and updates an internal db accordingly.
No, not even kinda. Fully. Amazon has stores you can walk in and take whatever you want off the shelf and leave. If you put it back somewhere else, even if not on the same shelf, it can still track that.
I actually work in this field and it's a lot more complicated than it sounds. When you're training AI to recognize products in a store, you have a set list of products it needs to be trained on. A person might go to many different stores which increases the possible variation of products exponentially. Amazon's model is also much more complex than just cameras, involving weight sensors in shelving, pressure detection, facial recognition. A store where everything is laid out in predictable, well lit, organized rows is already a nightmare. A fridge, even if it's way smaller, is way, way less predictable
Bruh. If AI is being taught to drive cars on the open road then I feel like cameras to detect what's in your fridge is pathetically easy in comparison and very much an AI task
Yeah, kinda. Except you'll likely need a camera or two for each shelf of the fridge (given the layout remains unchanged), and also you have to make sure they don't get covered with ice/spilled milk/whatever or blocked by a box of some stuff. Aaaalternatively, you install a receipt scanner and touch scrreen which asks you what you took and updates an internal db accordingly.
No, not even kinda. Fully. Amazon has stores you can walk in and take whatever you want off the shelf and leave. If you put it back somewhere else, even if not on the same shelf, it can still track that.
A fridge is a joke.
I actually work in this field and it's a lot more complicated than it sounds. When you're training AI to recognize products in a store, you have a set list of products it needs to be trained on. A person might go to many different stores which increases the possible variation of products exponentially. Amazon's model is also much more complex than just cameras, involving weight sensors in shelving, pressure detection, facial recognition. A store where everything is laid out in predictable, well lit, organized rows is already a nightmare. A fridge, even if it's way smaller, is way, way less predictable